Computer und IT
Nutzerverhalten verstehen - Softwarenutzen optimieren
Software muss nicht nur technische Definitionen, Standards und Normen erfüllen, sondern von ihren Benutzern auch entsprechend wahrgenommen werden. Nutzer und Käufer erwarten eine bestimmte Leistung, die zu den eigenen Zielen passen muss und es ist Aufgabe der Softwareentwickler, diese Leistung zu liefern.Da es hierbei nie eine vollständige Passung geben kann, entsteht ein Kommunikationsproblem – ein Kommunikationsproblem zwischen Menschen, das noch zu selten ernstgenommen wird.Über bekannte Ansätze hinausgehend zeigt das Buch anhand vieler praxisnaher Beispiele ein Verfahren, mit dem Sie Kommunikationsprobleme während der Entwicklung von Software aufdecken und bearbeiten und mit dem Sie auch nach der Veröffentlichung Ihrer Software Möglichkeiten der Optimierung identifizieren können.Zusätzliche Fragen per App: Laden Sie die Springer Nature Flashcards-App kostenlos herunter und nutzen Sie exklusives Zusatzmaterial, um an weiteren Beispielen zu üben und Ihr Wissen zu prüfen.DR. MARIO DONICK ist Kommunikationswissenschaftler. Er studierte Germanistik und Geschichte an der Universität Rostock und war dort bis 2013 wissenschaftlicher Mitarbeiter am Institut für Informatik. 2016 erschien seine Dissertation zu Unsicherheit und Ordnung der Computernutzung. Seitdem arbeitet er im und zum technischen Kundenservice und ist Autor und Entwickler. Zuletzt erschien sein Sachbuch „Die Unschuld der Maschinen“.Einleitung: Was Software-Qualität mit menschlicher Kommunikation zu tun hat - Kommunikation bei der Software-Entwicklung - Über die Beziehung von Nutzer*in, Software und Nutzungssituation - Softwarenutzung strukturiert beobachten - Strukturelle Analyse der Beobachtungsdaten - Analyseergebnisse interpretieren: Software als Medium und Schnittstelle, Quality of Interaction und Gestaltungsnormen
Textverarbeitung für Studium und Ausbildung
Längere Schriftstücke bereiten oft einiges Kopfzerbrechen. Nicht nur beim fachlichen Inhalt, sondern auch bei Layout und Bearbeitungsfreundlichkeit. Denn das Schreiben kann selbst ganz einfach und glatt funktionieren und dabei noch super aussehen, wenn man nur richtig anfängt. Hier sehen wir uns alle Teile an, die für fachliche und wissenschaftliche Dokumente gebraucht werden: Formatvorlagen, Abbildungen, Inhaltsverzeichnisse, Deckblätter und Inhalte mit Überbreite, die im Text eingefügt werden müssen. Das alles in einer kompakten Form, von der ausgehend weitere Details bearbeitet werden können. Dazu dann noch Möglichkeiten, ein Dokument gemeinsam zu verfassen und dabei den Überblick zu behalten. Damit sich jeder Autor voll auf den Inhalt der Texte konzentrieren kann und sich nicht in Kleinkram verzettelt!Ina Koys ist langjährige Trainerin für MS-Office-Produkte. Viele Fragen werden in den Kursen immer wieder gestellt, aber selten in Fachbüchern behandelt. Einige davon beantwortet sie jetzt in der Reihe "kurz & knackig".
Commercial and Industrial Internet of Things Applications with the Raspberry Pi
Use the Raspberry Pi and modern computing techniques to build industrial Internet of Things systems. Principles and theoretical aspects of IoT technologies combine with hands-on projects leading to detailed descriptions of several industrial IoT applications.This book presents real-life IoT applications based on the Raspberry Pi, beyond the relatively simplistic demos built for educational purposes or hobbyists. You'll make the transition from tinkering with a couple of sensors and simple devices to building fully developed products for commercial use and industrial systems. You'll also work with sensors and actuators, web technologies used for communications in IoT networks, and the large-scale deployment of IoT software solutions. And see how to design these systems as well as maintain them long term.See the Raspberry Pi in a new light that highlights the true industrial potential of the device. Move beyond connecting an LED to the Raspberry Pi and making it blink to actually managing a network of IoT devices.WHAT YOU'LL LEARN* Design industrial and large scale professional Internet of Things systems* Extend your basic IoT knowledge by building advanced products* Learn how large scale IoT systems are deployed and maintainedWHO THIS BOOK IS FORAdvanced hobbyists who want to stretch their abilities into the professional sector. Also professional industrial engineers looking for low-cost solutions to basic IoT needs.IOANA CULIC is a PhD candidate in the field of Internet of Things and the co-founder of Wyliodrin, a company that offers educational and industrial IoT solutions. Wyliodrin’s target is to offer educational platforms for IoT. They have developed a large set of written and video educational materials to complement their solutions. Much of this material was coordinated and contributed to by Ioana.ALEXANDRU RADOVICIis the CTO of Wyliodrin and earned a PhD in mobile technologies from University Politehnica of Bucharest, where he now works as an associate professor. He has taught and prepared materials for advanced IT classes. He has contributed to several books and articles on how to build Internet of Things applications.CRISTIAN RUSU isin charge of research and development within Wyliodrin and holds a PhD in signal processing from the University Politehnica of Bucharest. He has held research and teaching positions at the University Politehnica of Bucharest, the IMT Institute for Advanced Studies in Lucca, Italy and the University of Vigo, Spain.INDUSTRIAL INTERNET OF THINGS APPLICATIONS WITH THE RASPBERRY PIChapter 1: Architecture of Industrial IoT SystemsChapter 2: Large-scale deployment and maintainanceChapter 3: Smart digital signage systemChapter 4: Smart soda dispenser systemChapter 5: Smart ads systemChapter 6: Energy consumption monitoringChapter 7: Solar power plant control systemChapter 8: Smart parking
Arduino Software Internals
It’s not enough to just build your Arduino projects; it’s time to actually learn how things work! This book will take you through not only how to use the Arduino software and hardware, but more importantly show you how it all works and how the software relates to the hardware.Arduino Software Internals takes a detailed dive into the Arduino environment. We’ll cover the Arduino language, hardware features, and how makers can finally ease themselves away from the hand holding of the Arduino environment and move towards coding in plain AVR C++ and talk to the microcontroller in its native language.What You’ll Learn:* How the Arduino Language interfaces with the hardware, as well as how it actually works in C++;* How the compilation system works, and how kit can be altered to suit personal requirements;* A small amount of AVR Assembly Language;* Exactly how to set up and use the various hardware features of the AVR without needing to try and decode the data sheets – which are often bug ridden and unclear;* Alternatives to the Arduino IDE which might give them a better workflow;* How to build their own Arduino clone from scratch.Who This Book Is For:No expertise is required for this book! All you need is an interest in learning about what you’re making with Arduinos and how they work. This book is also useful for those looking to understand the AVR microcontroller used in the Arduino boards. In other words, all Makers are welcome! Norman Dunbar is an Oracle Database Administrator. Norman has had a long running relationship with Electronics since childhood and computers since the late 1970s, and the Arduino was a perfect marriage of the two interests. With a love of learning new things, examining and explaining the Arduino Language and the hardware became a bit of a hobby, and as piles of notes expanded, Norman has now decided to publish his work.1. Introduction1.1. Arduino Installation Paths1.2. Coding Style1.3. The Arduino Language1.4. Coming UpPart 1 - Arduino Compilation2. Preferences.txt2.1. Using an ICSP For All Uploads2.2. Change the Action of Home and End Keys2.3. Setting Tab Stops3. Globally Defined Paths4. Boards.Txt4.1. Arduino Uno Example5. Platform.txt5.1. Build Recipes5.2. Pre and Post Build Hooks6. Programmers.txt7. Compiling a Sketch7.1. Arduino Sketch (*.ino) Preprocessing7.2. Arduino Sketch (*.ino) Build8. The Arduino main() Function9. Header File Arduino.h9.1. Header File avr\pgmspace.h9.2. Header File avr\io.h9.3. Header File avr\interrupt.h9.4. Header File binary.h9.5. Header File WCharacter.h9.6. Header File WString.h9.7. Header File HardwareSerial.h9.8. Header File USBAPI.h9.9. Header File pins_arduino.h10. The init() Function10.1. Enabling the Global Interrupt Flag10.2. Enabling Timer 010.3. Timer 0 Overflow Interrupt10.4. Enabling Timer 1 and Timer 210.5. Initialising the Analogue to Digital Converter10.6. Disabling the USARTPart 2 - Arduino Language Reference11. Digital Input/Output11.1. Function pinMode()11.2. Function digitalRead()11.3. Function digitalWrite()12. Analogue Input/Output12.1. Function analogReference()12.2. Function analogRead()12.3. Function analogWrite()13. Advanced Input/Output13.1. Function tone()13.2. Function noTone()13.3. Function pulseIn()13.4. Function pulseInLong()13.5. Function shiftIn()13.6. Function shiftOut()14. Time14.1. Function delay()14.2. Function delayMicroseconds()14.3. Function micros()14.4. Function millis()15. Interrupts15.1. Function interrupts()15.2. Function noInterrupts()15.3. Function attachInterrupt()15.4. Function detachInterrupt()16. Bits and Bobs16.1. Function bit()16.2. Function bitClear()16.3. Function bitRead()16.4. Function bitSet()16.5. Function bitWrite()16.6. Function highByte()16.7. Function lowByte()16.8. Function sbi()16.9. Function cbi()17. Arduino Classes17.1. The Print Class17.2. The Printable Class17.3. The Stream Class17.4. The HardwareSerial Class17.5. The String ClassPart 3 - Converting to the AVR Language18. Introduction19. Numbering Systems.19.1. Decimal Numbering19.2. Binary Numbering19.3. Hexadecimal Numbering20. Binary Logical Operations20.1. NOT20.2. AND20.3. OR20.4. XOR21. Using the Arduino IDE21.1. Replacing pinMode()21.2. Replacing digitalWrite()21.3. Replacing digitalRead()Part 4 - Alternatives to the Arduino IDE22. PlatformIO22.1. Installing PlatformIO Core22.2. Testing PlatformIO Core22.3. PlatformIO in an IDE22.4. PlatformIO Home23. Arduino Command Line23.1. Obtaining the Arduino-CLI23.2. Installing23.3. Installing Platforms23.4. Configuring the CLI23.5. Creating Sketches23.6. Selecting a Board23.7. Compiling Sketches23.8. Uploading Sketches23.9. Getting Help23.10. Serial Usage23.11. FinallyPart 5 - About the ATMega328P24. ATmega328P Fuses24.1. Low Fuse Bits24.2. Low Fuse Factory Default24.3. Arduino Low Fuse Settings24.4. High Fuse Bits24.5. High Fuse Factory Default24.6. Arduino High Fuse Settings24.7. Extended Fuse Bits24.8. Extended Fuse Factory Default24.9. Arduino Extended Fuse Settings25. Brown Out Detection26. The Watchdog Timer26.1. WDT Modes of Operation26.2. Amended Sketch setup() function26.3. WDT Reset26.4. The WDT Control Register26.5. Enabling the WDT26.6. Setting the WDT Timeout Period26.7. Disabling the WDT27. The Analogue Comparator27.1. Reference Voltage27.2. Sampled Voltage27.3. Digital Input27.4. Enable the Analogue Comparator27.5. Select Reference Voltage Source27.6. Select Sampled Voltage Source Pin27.7. Sampled Voltage Summary27.8. Comparator Outputs27.9. Comparator Example28. Timer/Counters28.1. Timer/Counter 0 (8 bits)28.2. Timer/Counter 1 (8, 9, 10 and/or 16 bits)28.3. Timer/Counter 2 (8 bits)28.4. Timer/Counter Clock Sources28.5. Timer/Counter Operating Modes28.6. PWM Modes - Duty Cycle28.7. Too Much to Remember? Try AVRAssist29. Counting29.1. Setting External Counting29.2. Example Sketch30. Timer 1 Input Capture Unit31. Putting the AVR to Sleep31.1. Sleep Modes 23931.2. Analogue Comparator 24632. Power Reduction32.1. Power Consumption32.2. Power Reduction Register32.3. Saving Arduino Power32.4. The Power Functions33. Analogue to Digital Converter (ADC)33.1. ADC Setup and Initiation33.2. Noise Reduction33.3. Temperature Measurement33.4. ADC Example34. USART34.1. Baud Rates34.2. What is a Frame?34.3. Parity34.4. Interrupts34.5. Initialising the USART34.6. USART Checks34.7. USART ExampleAppendices
Developing Inclusive Mobile Apps
By failing to consider those with needs different to ourselves, we are telling these people they are not welcome in our app, and therefore that technology as a whole, is not for them. This is not hyperbole—23% of people in the US with a registered disability aren't online at all, that's three times more likely than the general population. When asked why they're not online, disabled respondents say their disability prevents them or that using the internet is too hard.To help your apps combat the issue of digital exclusion, this book covers considerations and tools mobile developers, or anyone creating mobile experiences, can use to make mobile work better for those with disabilities—mental or physical—and how to create a better experience for everyone.Software is not made up of cold, unthinking algorithms. Software is a craft in the truest sense of the word, and one of the greatest tools you can have as a craftsperson is empathy for the people who will be using your app. Each one of whom is an individual with different abilities, experiences, knowledge, and circumstances.WHAT YOU'LL LEARN* Create mobile experiences that work for as many people as possible* Incorporate a worldview of accessibility and customer service into your design* Work with accessibility tools and techniques commonly available for developersWHO THIS BOOK IS FORMobile developers working solo or as part of a team. UX designers, quality engineers, product owners, and anybody working in mobile.ROB WHITAKER is an iOS software development engineer at Capital One UK with a passion for improving digital experiences for everyone. He actively observes how people use technology, and considers how we can all make those interactions better. Currently he’s working on a project to make the Capital One UK app the first mobile app certified by the RNIB (Royal National Institute for Blind People).Chapter 1: What is Accessibility?• Intro to accessibility - great accessibility is a great experience for everyone• Intro to disability - ie, its not all visual• Why mobile is the best for accessible innovationChapter 2: What is Digital Inclusion?• Brief history of accessible thinking• Inclusive design & the persona spectrum• EmpathyChapter 3: Accessibility Tools on Android• Brief overview of the accessibility features & tools built into Android. What these mean for users, and how to leverage them as developers• Including code snippetsChapter 4: Accessibility Tools for iOS• Brief overview of the accessibility features & tools built into iOS. What these mean for users, and how to leverage them as developers• Including code snippetsChapter 5: Ensuring good accessibility• User research• Testing with accessibility toolsChapter 6: Visual Impairments• Practical tips for improving the experience for people with visual impairments• Including code snippetsChapter 7: Motor issues• Practical tips for improving the experience for people with motor issues• Including code snippetsChapter 8: Deaf & Hard of Hearing• Practical tips for improving the experience for people with auditory impairments• Including code snippetsChapter 9: Anxiety & Mental Health• Practical tips for improving the experience for people with visual mental health issues• Including code snippetsChapter 10: Dyslexia, Autism and Learning Difficulties• Practical tips for improving the experience for people with learning difficulties• Including code snippetsChapter 11: Poor Digital Skills• Good accessibility is not just about disability, but ability too• What skills are essential for digital life, and how do we measure up• Practical tips for improving the experience for people with poor digital skillsChapter 12: Life Circumstances• Good accessibility is not just about disability, but people's circumstances too• How circumstances such as low income, poor education etc can affect your digital interactions• Practical tips for improving the experience for people with with difficult life circumstancesChapter 13: Age, Gender & Sexuality• Theres a huge gap in digital use between 18 year olds, and those aged 60+.• How do we make sure we're not prejudicing based on age or experience, gender or sexuality when creating softwareChapter 14: Internationalization
C++20 Recipes
Discover the newest major features of C++20, including modules, concepts, spaceship operators, and smart pointers. This book is a handy code cookbook reference guide that covers the C++ core language standard as well as some of the code templates available in standard template library (STL).In C++20 Recipes: A Problem-Solution Approach, you'll find numbers, strings, dates, times, classes, exceptions, streams, flows, pointers, and more. Also, you'll see various code samples, templates for C++ algorithms, parallel processing, multithreading, and numerical processes. It also includes 3D graphics programming code. A wealth of STL templates on function objects, adapters, allocators, and extensions are also available.This is a must-have, contemporary reference for your technical library to help with just about any project that involves the C++ programming language.WHAT YOU WILL LEARN* See what's new in C++20Write modules * Work with text, numbers, and classes* Use the containers and algorithms available in the standard library* Work with templates, memory, concurrency, networking, scripting, and more* Code for 3D graphicsWHO THIS BOOK IS FORProgrammers with at least some prior experience with C++.DR. J. BURTON BROWNING earned his doctorate from North Carolina State University. He has conducted research in areas including: distance learning, programming, and instructional technology. As a life-long learner and someone who has interests in topics such as: programming, photography, robotics, car restoration, wood working, hunting, reading, fishing, and archery, he is never at a loss for something to do. The art and joy of serving as a professor suits his inquisitive nature. Dr. Browning’s previous publications include works on cross-functional learning teams (CFLT), The Utopian School (teacher-led school model), computer programming (several languages), open-source software, healthcare statistics and data mining, CNC plasma cutter operation, educational technology, biography, mobile learning, online teaching, and more.BRUCE SUTHERLAND is a video game programmer hailing from Dundee, Scotland. He graduated with a Bsc (Hons) Computer Games Technology from the University of Abertay, Dundee in Scotland, graduating in 2005. After graduating he began his first job in the games industry at 4J Studios where he worked on Star Trek: Encounters (PS2), The Elder Scrolls IV: Oblivion (PS3), Star Trek: Conquest (PS2, Wii), Ducati Moto (NDS) and AMF Pinbusters! (NDS). In July 2008 he moved from Dundee to Melbourne Australia where he joined Visceral Studios and was a software engineer on Dead Space (Xbox 360, PS3, PC), The Godfather II (Xbox 360, PS3, PC) and Dead Space 3 (Xbox 360, PS3, PC). He developed an interest in developing for Android in his spare time and writes tutorials on his blog.1. Beginning C++2. Modern C++3. Working with Text4. Working with Numbers5. Classes6. Inheritance7. The STL Containers8. The STL Algorithms9. Templates10. Memory11. Concurrency12. Networking13. Scripting14. 3D Graphics Programming
Affinity Publisher 1.8 (2. Auflg.)
Praxiswissen für Einsteiger in 2. AuflageDie Layout- und Desktop-Publishing-Software Affinity Publisher besticht durch einen professionellen Funktionsumfang - und dies ohne Abo- und Cloud-Zwang zu einem günstigen Preis. Trotzdem erhalten Sie ein sehr leistungsfähiges Werkzeug, mit dem Sie hochwertige Publikationen für Druck, Web und andere Medien erstellen können. Der Schwerpunkt des Buches liegt auf der Gestaltung von Druckpublikationen, wie sie bei vielen kleinen und mittleren Unternehmen, Vereinen, Behörden oder auch Privatleuten, die ihre Werke professionell gestalten möchten, anfallen.Winfried Seimert gibt Ihnen zunächst eine Übersicht über das Programm und seine Arbeitsweise, so dass Sie sich schnell zurechtfinden. Neben dem Erstellen von und dem Umgang mit Satzdateien erfahren Sie, was es mit den Master-Seiten auf sich hat. Der Autor zeigt Ihnen außerdem, wie genial StudioLink die beiden Schwesterprogramme Affinity Photo und Affinity Designer in den Workflow einbindet. Schritt für Schritt lernen Sie, mit Typografie und Grundlinienrastern umzugehen, komplexe Layouts für Flyer oder Zeitschriften anzulegen, Grafikelemente einzusetzen und die Farben gezielt zu steuern. Schließlich können Sie Ihre Layout-Entwürfe als PDF ausgeben, diese optimal für den Druck vorbereiten und dabei die notwendigen Einstellungen beachten.Abgerundet wird das Buch durch einen Praxisteil, in dem Sie das Erlernte gleich umsetzen und so Layouts für Visitenkarten, eindrucksvolle Fotobücher, Flyer und Broschüren erhalten.Aus dem Inhalt:Erste Schritte mit dem PublisherArbeit mit SatzdateienTexterfassung: Rahmentext, Grafiktext, Pfadtext und TabellenTexte mit Publisher gestalten und Objekte selbst erstellen und arrangierenBilder und Grafiken platzierenHilfreiche Techniken und Einstellungen z. B. zu Farbprofilen, Werkzeugen und AssetsAnsprechende Gestaltung von Visitenkarten, Fotobüchern, Flyern und BroschürenÜber den Autor:Winfried Seimert ist IT-Dozent, Consultant und Autor zahlreicher Fachbücher insbesondere zu den Themen Software und Betriebssysteme. Dabei hat er immer den Komfort des Anwenders im Blick und erklärt entsprechend praxisnah. So erfreuen sich seine Bücher aufgrund ihrer durchdachten Strukturierung bereits seit Mitte der neunziger Jahre großer Beliebtheit.
CCNP Enterprise Certification Study Guide: Implementing and Operating Cisco Enterprise Network Core Technologies
THE PRACTICAL AND CONCEPTUAL KNOWLEDGE YOU NEED TO ATTAIN CCNP ENTERPRISE CERTIFICATIONFrom one of the most trusted study guide publishers comes CCNP Enterprise Certification Study Guide: Exam 350-401. This guide helps you develop practical knowledge and best practices for critical aspects of enterprise infrastructure so you can gain your CCNP Enterprise certification. If you’re hoping to attain a broader range of skills and a solid understanding of Cisco technology, this guide will also provide fundamental concepts for learning how to implement and operate Cisco enterprise network core technologies.By focusing on real-world skills, each chapter prepares you with the knowledge you need to excel in your current role and beyond. It covers emerging and industry-specific topics, such as SD-WAN, network design, wireless, and automation. This practical guide also includes lessons on:● Automation● Network assurance● Security● Enterprise infrastructure● Dual-stack architecture● VirtualizationIn addition to helping you gain enterprise knowledge, this study guidecan lead you toward your Cisco specialist certification.When you purchase this guide, you get access to the information you need to prepare yourself for advances in technology and new applications, as well as online study tools such as:● Bonus practice exams● Pre-made flashcards● Glossary of key terms● Specific focus areasExpand your skillset and take your career to the next level with CCNP Enterprise Certification Study Guide.ABOUT THE AUTHORBEN PIPER is an IT consultant who has created more than 20 training courses, covering Cisco routing and switching, Amazon Web Services, Puppet configuration management, and Windows Server Administration. He is the co-author of AWS Certified Cloud Practitioner Study Guide: Foundational (CLF-C01) Exam, AWS Certified Solutions Architect Study Guide: Associate (SAA-C01) Exam, AWS Certified SysOps Administrator Practice Tests: Associate (SOA-C01) Exam, and Learn Cisco Network Administration in a Month of Lunches.Introduction xxiAssessment Test xxviiiCHAPTER 1 NETWORKING FUNDAMENTALS 1The OSI Model 2The Upper Layers: Application, Presentation, and Session 4Making Sense of Layers 4The Lower Layers: Physical, Data Link, Network, and Transport 6Layer 1: The Physical Layer 7Layer 2: The Data Link Layer 8A Brief History of Ethernet 8The MAC Address Table 10Maximum Transmission Unit 12Subnet Limits 12Layer 3: The Network Layer 13Forwarding within a Subnet 14Forwarding between Subnets 14Address Resolution Protocol 16Fragmentation 17Routing vs. Forwarding 18Layer 4: The Transport Layer 18Transmission Control Protocol 19Encapsulation and Decapsulation 21Summary 22Exam Essentials 22Review Questions 24CHAPTER 2 SPANNING TREE PROTOCOLS 29The Need for Spanning Tree 31VLANs and Trunking 32Dynamic Trunking 34Unconditional Trunking 35Active and Allowed VLANs 36Rapid Per-VLAN Spanning Tree 38Electing the Root Bridge 38Calculating the Root Ports 41Calculating the Root Ports of Indirectly Connected Switches 44Modifying Port Cost 46Modifying Port Priority 47Calculating Blocked Ports 48Port States 49Port Roles 49Link Types 49Multiple Spanning Tree 50Root Bridges and Port Priority 52Internal Spanning Tree 53Native VLAN 54Topology Change Detection 55Spanning Tree Extensions 55Root Guard 55BPDU Guard and BPDU Filter 57Unidirectional Link Detection 58Loop Guard 58Summary 58Exam Essentials 59Exercises 60Review Questions 62CHAPTER 3 ENTERPRISE NETWORK DESIGN 67Physical Network Architectures 68Comparing Campus and Data Center Networks 69The Three-Tier Architecture 70The Two-Tier Collapsed Core: A Cheaper Alternative 73Layer 2 Design 74Switched and Routed Interfaces 75Switched Topologies 76Routed Access Topology 81EtherChannels 82Load-Balancing Methods 83Static EtherChannels 84Port Aggregation Control Protocol 88Link Aggregation Control Protocol 90First-Hop Redundancy Protocols 91Hot Standby Router Protocol 92Virtual Router Redundancy Protocol 94Gateway Load-Balancing Protocol 95Summary 97Exam Essentials 98Review Questions 100CHAPTER 4 WIRELESS LAN (WLAN) 105Radio Frequency Fundamentals 106Frequency and Amplitude 107Carrier Frequency 109Power Levels 110WLAN 802.11 Standards 115The Physical Layer: Frequencies and Channels 115Layer 2: 802.11 Media Access Control (MAC) 119Access Point Modes 124Autonomous 124Lightweight 124Wireless LAN Controller Selection Process 125Roaming and Location Services 126Roaming 126Location Services 128Summary 128Exam Essentials 129Review Questions 130CHAPTER 5 OPEN SHORTEST PATH FIRST (OSPF) 135Link-State Advertisements 136OSPF Areas 137LSA Types 137Neighbor Operations 141Configuring OSPF 142Configuring Area 0 on a Broadcast Network 142Viewing Neighbor Adjacencies 143Rigging the Designated Router Election 144Viewing and Understanding LSAs 146Authentication 154Passive Interfaces 158Injecting a Default Route 159Inter-Area Summarization 161Route Filtering 162Distribute Lists 162Summary 163Exam Essentials 164Exercises 164Review Questions 166CHAPTER 6 ENHANCED INTERIOR GATEWAY ROUTING PROTOCOL (EIGRP) 171EIGRP Fundamentals 172EIGRP Packet Types 172The Diffusing Update Algorithm (DUAL) 173Weighted Metrics 176Configuring EIGRP 178Equal Cost Multipathing 181Modifying Metrics 182Switching Types 186Unequal Cost Multipathing 187Summary 190Exam Essentials 190Exercises 191Review Questions 192CHAPTER 7 THE BORDER GATEWAY PROTOCOL (BGP) 197BGP Fundamentals 198BGP AS Numbers 199BGP Session States 201Configuring BGP 202Advertising Prefixes 204Path Selection 205Route Redistribution among BGP, OSPF, and EIGRP 210Testing IP Reachability Using Tcl Scripts 214Troubleshooting 215Modifying Weight 218Advertising Summary Routes Using Route Aggregation 220Route Filtering Using Route Maps and Prefix Lists 222Summary 225Exam Essentials 226Exercises 226Review Questions 228CHAPTER 8 NETWORK ADDRESS TRANSLATION AND MULTICAST 233Network Address Translation 234Address Types 234Static NAT 236Dynamic NAT 241NAT Overload with Port Address Translation 247Outside Static NAT 250Removing NAT Configurations 251Multicast 252IP Multicast 253LAN Multicast 253Multicast Routing 257Configuring PIM 258Configuring a Multicast Receiver 262IP Multicast and Ethernet 264Summary 265Exam Essentials 267Exercises 268Review Questions 270CHAPTER 9 QUALITY OF SERVICE 275Understanding Quality of Service 276Classification and Marking 277Differentiated Services 277Layer 2 Marking 280Class Maps and Policy Maps 280Wireless QoS 281Policing 284Single-Rate, Two-Color Policing 284Single-Rate, Three-Color Policing 285Two-Rate Policing 287Queuing 288Class-Based Weighted Fair Queuing 288Low-Latency Queuing 293Explicit Congestion Notification 295Shaping 295Summary 297Exam Essentials 297Exercises 298Review Questions 299CHAPTER 10 NETWORK VIRTUALIZATION 303Virtual Machines, Hypervisors, and Network Virtualization 304Virtual Machines and Server Virtualization 305Network Virtualization 307Generic Routing Encapsulation Tunnels 312Configuring a GRE Tunnel to Tunnel IPv4 and IPv6 over IPv4 312Recursive Routing 318IP Security 319Internet Key Exchange 320Encapsulating Security Payload 320Configuring IPsec in Transport Mode with a GRE Tunnel 321Configuring IPsec in Tunnel Mode 324Location/ID Separation Protocol 326LISP Terminology 328Configuring LISP 328Simulating IP Mobility 332Is LISP a Routing Protocol? 334Virtual Extensible Local Area Network 334MAC Address Learning 335Forwarding 335Configuring VXLAN 336VXLAN Control Planes 336Configuring the Underlay 337Configuring the Overlay 338Configuring R1 and R2 339Virtual Routing and Forwarding 340Configuring a VRF 340Configuring Multi-VRF EIGRP 342Summary 345Exam Essentials 345Exercises 346Review Questions 347CHAPTER 11 SOFTWARE-DEFINED NETWORKING AND NETWORK PROGRAMMABILITY 353What Is Software-Defined Networking? 355Software-Defined Access 356SD-Access Layers 357Physical Layer 357Network Underlay 358Fabric Overlay 359Controller Layer 363Management Layer 364Software-Defined WAN 369vManage Network Management System 370vSmart Controller 370vBond Orchestrator 371vEdge Routers 371Network Programmability and Automation 372The Cisco DNA Center Intent API 372vManage REST API 379NETCONF 383Embedded Event Manager 386Configuration Management Platforms 388Summary 391Exam Essentials 391Exercises 392Review Questions 393CHAPTER 12 NETWORK SECURITY AND MONITORING 397Infrastructure Security 398Device Access 399Authentication, Authorization, and Accounting 402Access Control Lists 407Control Plane Policing 412Cisco Security Products 414AnyConnect Secure Mobility Client 414Umbrella 414Advanced Malware Protection ThreatGrid 414Advanced Malware Protection for Endpoints 415Firepower Next-Generation Firewall 415TrustSec 416MAC Security 418Wireless Security 418WebAuth 418Configuring WPA2 with 802.1X 422Configuring 802.1X on the Client 422Configure Preshared Keys 424Monitoring 425Conditional Debugs 425Simple Network Management Protocol (SNMP) 425Syslog 426Network Time Protocol 428NetFlow and Flexible NetFlow 429Switched Port Analyzer 432IP Service Level Agreement 434Summary 436Exam Essentials 437Exercises 438Review Questions 439Appendix Answers to Review Questions 443Chapter 1: Networking Fundamentals 444Chapter 2: Spanning Tree Protocols 445Chapter 3: Enterprise Network Design 447Chapter 4: Wireless LAN (WLAN) 448Chapter 5: Open Shortest Path First (OSPF) 450Chapter 6: Enhanced Interior Gateway Routing Protocol (EIGRP) 451Chapter 7: The Border Gateway Protocol (BGP) 453Chapter 8: Network Address Translation and Multicast 454Chapter 9: Quality of Service 456Chapter 10: Network Virtualization 457Chapter 11: Software-Defined Networking and Network Programmability 459Chapter 12: Network Security and Monitoring 460Index 463
Smarter Data Science
ORGANIZATIONS CAN MAKE DATA SCIENCE A REPEATABLE, PREDICTABLE TOOL, WHICH BUSINESS PROFESSIONALS USE TO GET MORE VALUE FROM THEIR DATAEnterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how.Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments.When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise.By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements:* Improving time-to-value with infused AI models for common use cases* Optimizing knowledge work and business processes* Utilizing AI-based business intelligence and data visualization* Establishing a data topology to support general or highly specialized needs* Successfully completing AI projects in a predictable manner* Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computingWhen they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.NEAL FISHMAN is a Distinguished Engineer and CTO of Data-Based Pathology at IBM. He is an IBM-certified Senior IT Architect and Open Group Distinguished Chief Architect. COLE STRYKER is a journalist based in Los Angeles. He is the author of Epic Win for Anonymous and Hacking the Future. Foreword for Smarter Data Science xixEpigraph xxiPreamble xxiiiCHAPTER 1 CLIMBING THE AI LADDER 1Readying Data for AI 2Technology Focus Areas 3Taking the Ladder Rung by Rung 4Constantly Adapt to Retain Organizational Relevance 8Data-Based Reasoning is Part and Parcel in the Modern Business 10Toward the AI-Centric Organization 14Summary 16CHAPTER 2 FRAMING PART I: CONSIDERATIONS FOR ORGANIZATIONS USING AI 17Data-Driven Decision-Making 18Using Interrogatives to Gain Insight 19The Trust Matrix 20The Importance of Metrics and Human Insight 22Democratizing Data and Data Science 23Aye, a Prerequisite: Organizing Data Must Be a Forethought 26Preventing Design Pitfalls 27Facilitating the Winds of Change: How Organized Data Facilitates Reaction Time 29Quae Quaestio (Question Everything) 30Summary 32CHAPTER 3 FRAMING PART II: CONSIDERATIONS FOR WORKING WITH DATA AND AI 35Personalizing the Data Experience for Every User 36Context Counts: Choosing the Right Way to Display Data 38Ethnography: Improving Understanding Through Specialized Data 42Data Governance and Data Quality 43The Value of Decomposing Data 43Providing Structure Through Data Governance 43Curating Data for Training 45Additional Considerations for Creating Value 45Ontologies: A Means for Encapsulating Knowledge 46Fairness, Trust, and Transparency in AI Outcomes 49Accessible, Accurate, Curated, and Organized 52Summary 54CHAPTER 4 A LOOK BACK ON ANALYTICS: MORE THAN ONE HAMMER 57Been Here Before: Reviewing the Enterprise Data Warehouse 57Drawbacks of the Traditional Data Warehouse 64Paradigm Shift 68Modern Analytical Environments: The Data Lake 69By Contrast 71Indigenous Data 72Attributes of Difference 73Elements of the Data Lake 75The New Normal: Big Data is Now Normal Data 77Liberation from the Rigidity of a Single Data Model 78Streaming Data 78Suitable Tools for the Task 78Easier Accessibility 79Reducing Costs 79Scalability 79Data Management and Data Governance for AI 80Schema-on-Read vs. Schema-on-Write 81Summary 84CHAPTER 5 A LOOK FORWARD ON ANALYTICS: NOT EVERYTHING CAN BE A NAIL 87A Need for Organization 87The Staging Zone 90The Raw Zone 91The Discovery and Exploration Zone 92The Aligned Zone 93The Harmonized Zone 98The Curated Zone 100Data Topologies 100Zone Map 103Data Pipelines 104Data Topography 105Expanding, Adding, Moving, and Removing Zones 107Enabling the Zones 108Ingestion 108Data Governance 111Data Storage and Retention 112Data Processing 114Data Access 116Management and Monitoring 117Metadata 118Summary 119CHAPTER 6 ADDRESSING OPERATIONAL DISCIPLINES ON THE AI LADDER 121A Passage of Time 122Create 128Stability 128Barriers 129Complexity 129Execute 130Ingestion 131Visibility 132Compliance 132Operate 133Quality 134Reliance 135Reusability 135The xOps Trifecta: DevOps/MLOps, DataOps, and AIOps 136DevOps/MLOps 137DataOps 139AIOps 142Summary 144CHAPTER 7 MAXIMIZING THE USE OF YOUR DATA: BEING VALUE DRIVEN 147Toward a Value Chain 148Chaining Through Correlation 152Enabling Action 154Expanding the Means to Act 155Curation 156Data Governance 159Integrated Data Management 162Onboarding 163Organizing 164Cataloging 166Metadata 167Preparing 168Provisioning 169Multi-Tenancy 170Summary 173CHAPTER 8 VALUING DATA WITH STATISTICAL ANALYSIS AND ENABLING MEANINGFUL ACCESS 175Deriving Value: Managing Data as an Asset 175An Inexact Science 180Accessibility to Data: Not All Users are Equal 183Providing Self-Service to Data 184Access: The Importance of Adding Controls 186Ranking Datasets Using a Bottom-Up Approach for Data Governance 187How Various Industries Use Data and AI 188Benefi ting from Statistics 189Summary 198CHAPTER 9 CONSTRUCTING FOR THE LONG-TERM 199The Need to Change Habits: Avoiding Hard-Coding 200Overloading 201Locked In 202Ownership and Decomposition 204Design to Avoid Change 204Extending the Value of Data Through AI 206Polyglot Persistence 208Benefi ting from Data Literacy 213Understanding a Topic 215Skillsets 216It’s All Metadata 218The Right Data, in the Right Context, with the Right Interface 219Summary 221CHAPTER 10 A JOURNEY’S END: AN IA FOR AI 223Development Efforts for AI 224Essential Elements: Cloud-Based Computing, Data, and Analytics 228Intersections: Compute Capacity and Storage Capacity 234Analytic Intensity 237Interoperability Across the Elements 238Data Pipeline Flight Paths: Preflight, Inflight, Postflight 242Data Management for the Data Puddle, Data Pond, and Data Lake 243Driving Action: Context, Content, and Decision-Makers 245Keep It Simple 248The Silo is Dead; Long Live the Silo 250Taxonomy: Organizing Data Zones 252Capabilities for an Open Platform 256Summary 260Appendix Glossary of Terms 263Index 269
Emerging Extended Reality Technologies for Industry 4.0
In the fast-developing world of Industry 4.0, which combines Extended Reality (XR) technologies, such as Virtual Reality (VR) and Augmented Reality (AR), creating location aware applications to interact with smart objects and smart processes via Cloud Computing strategies enabled with Artificial Intelligence (AI) and the Internet of Things (IoT), factories and processes can be automated and machines can be enabled with self-monitoring capabilities. Smart objects are given the ability to analyze and communicate with each other and their human co-workers, delivering the opportunity for much smoother processes, and freeing up workers for other tasks. Industry 4.0 enabled smart objects can be monitored, designed, tested and controlled via their digital twins, and these processes and controls are visualized in VR/AR. The Industry 4.0 technologies provide powerful, largely unexplored application areas that will revolutionize the way we work, collaborate and live our lives. It is important to understand the opportunities and impact of the new technologies and the effects from a production, safety and societal point of view.JOLANDA G. TROMP is a Human-Computer Interaction expert for User-Centered design and evaluation of new technologies (VR/AR/AI/IoT), with 20 years' experience as principal Usability investigator. She has a PhD in Systematic Usability Design and Evaluation for Collaborative Virtual Environments, 2001, University of Nottingham, United Kingdom, a BSc in Psychology (with honors) University of Amsterdam, Holland (1995). She is a research consultant for the Center of Visualization and Simulation at Duy Tan University, Vietnam; for the Mixed Reality Task Group of the State University of New York; and for the global Simulations Working Group. DAC-NHUONG LE is PhD Deputy-Head of Faculty of Information Technology, Haiphong University, Vietnam. His areas of research include: evolutionary computation, specialized with evolutionary multiobjective optimization, approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, image processing in biomedical. His core work in evolutionary multi-objective optimization, network security, wireless, mobile computing and virtual reality. He has edited several books for the Wiley-Scrivener imprint. CHUNG VAN LE is Vice-Director Center of Visualization and Simulation. He has a MSc in Computer Science from Duy Tan University, 2011, Vietnam and a BSc in Computer Science at Da Nang University, 2004, Vietnam. He is currently pursuing a PhD at Duy Tan University, Vietnam. He researches medical image processing, e-Health, virtual simulation in medicine. He is Duy Tan University Lead Software Developer for 3D virtual body system for teaching anatomy and virtual endoscopic techniques for medical students. List of Figures xiList of Tables xvForeword xviiIntroduction xixPreface xxiiiAcknowledgments xxvAcronyms xxviiPART I EXTENDED REALITY EDUCATION1 MIXED REALITY USE IN HIGHER EDUCATION: RESULTS FROM AN INTERNATIONAL SURVEY 3J. Riman, N. Winters, J. Zelenak, I. Yucel, J. G. Tromp1.1 Introduction 41.2 Organizational Framework 41.3 Online Survey About MR Usage 51.4 Results 61.4.1 Use in Classrooms 81.4.2 Challenges 91.4.3 Examples of Research in Action 101.4.4 Hardware and Software for Use in Classrooms and Research 101.4.5 Challenges Described by Researcher Respondents 121.4.6 Anecdotal Responses about Challenges 121.5 Conclusion 13References 152 APPLYING 3D VR TECHNOLOGY FOR HUMAN BODY SIMULATION TO TEACHING, LEARNING AND STUDYING 17Le Van Chung, Gia Nhu Nguyen, Tung Sanh Nguyen, Tri Huu Nguyen, Dac-Nhuong Le2.1 Introduction 182.2 Related Works 182.3 3D Human Body Simulation System 192.3.1 The Simulated Human Anatomy Systems 192.3.2 Simulated Activities and Movements 202.3.3 Evaluation of the System 232.4 Discussion of Future Work 252.5 Conclusion 26References 26PART II INTERNET OF THINGS3 A SAFETY TRACKING AND SENSOR SYSTEM FOR SCHOOL BUSES IN SAUDI ARABIA 31Samah Abbas, Hajar Mohammed, Laila Almalki Maryam Hassan, Maram Meccawy3.1 Introduction 323.2 Related Work 323.3 Data Gathering Phase 333.3.1 Questionnaire 343.3.2 Driver Interviews 353.4 The Proposed Safety Tracking and Sensor School Bus System 363.4.1 System Analysis and Design 373.4.2 User Interface Design 383.5 Testing and Results 413.6 Discussion and Limitation 423.7 Conclusions and Future Work 42References 424 A LIGHTWEIGHT ENCRYPTION ALGORITHM APPLIED TO A QUANTIZED SPEECH IMAGE FOR SECURE IOT 45Mourad Talbi4.1 Introduction 464.2 Applications of IoT 464.3 Security Challenges in IoT 474.4 Cryptographic Algorithms for IoT 474.5 The Proposed Algorithm 484.6 Experimental Setup 504.7 Results and Discussion 524.8 Conclusion 57References 58PART III MOBILE TECHNOLOGY5 THE IMPACT OF SOCIAL MEDIA ADOPTION ON ENTREPRENEURIAL ECOSYSTEM 63Bodor Almotairy, Manal Abdullah, Rabeeh Abbasi5.1 Introduction 645.2 Background 655.2.1 Small and Medium-Sized Enterprises (SMEs) 655.2.2 Social Media 655.2.3 Social Networks and Entrepreneurial Activities 665.3 Analysis Methodology 665.4 Understanding the Entrepreneurial Ecosystem 675.5 Social Media and Entrepreneurial Ecosystem 695.5.1 Social Media Platforms and Entrepreneurship 715.5.2 The Drivers of Social Media Adoption 715.5.3 The Motivations and Benefits for Entrepreneurs to Use Social Media 715.5.4 Entrepreneurship Activities Analysis Techniques in Social Media Networks 715.6 Research Gap and Recommended Solution 735.6.1 Research Gap 735.6.2 Recommended Solution 745.7 Conclusion 74References 756 HUMAN FACTORS FOR E-HEALTH TRAINING SYSTEM: UX TESTING FOR XR ANATOMY TRAINING APP 81Zhushun Timothy Cai, Oliver Medonza, Kristen Ray, Chung Van Le, Damian Schofield, Jolanda Tromp6.1 Introduction 826.2 Mobile Learning Applications 826.3 Ease of Use and Usability 826.3.1 Effectiveness 836.3.2 Efficiency 836.3.3 Satisfaction 836.4 Methods and Materials 866.5 Results 896.5.1 Task Completion Rate (TCR) 896.5.2 Time-on-Task (TOT) 906.5.3 After-Scenario Questionnaire (ASQ) 916.5.4 Post-Study System Usability Questionnaire (PSSUQ) 936.6 Conclusion 93References 94PART IV TOWARDS DIGITAL TWINS AND ROBOTICS7 AUGMENTED REALITY AT HERITAGE SITES: TECHNOLOGICAL ADVANCES AND EMBODIED SPATIALLY MINDED INTERACTIONS 101Lesley Johnston, Romy Galloway, Jordan John Trench, Matthieu Poyade, Jolanda Tromp, Hoang Thi My7.1 Introduction 1027.2 Augmented Reality Devices 1037.3 Detection and Tracking 1057.4 Environmental Variation 1067.5 Experiential and Embodied Interactions 1097.6 User Experience and Presence in AR 1147.7 Conclusion 115References 1168 TELECI ARCHITECTURE FOR MACHINE LEARNING ALGORITHMS INTEGRATION IN AN EXISTING LMS 121V. Zagorskis, A. Gorbunovs, A. Kapenieks8.1 Introduction 1228.2 TELECI Architecture 1238.2.1 TELECI Interface to a Real LMS 1238.2.2 First RS Steps in the TELECI System 1248.2.3 Real Student Data for VS Model 1258.2.4 TELECI Interface to VS Subsystem 1268.2.5 TELECI Interface to AI Component 1288.3 Implementing ML Technique 1288.3.1 Organizational Activities 1288.3.2 Data Processing 1298.3.3 Computing and Networking Resources 1308.3.4 Introduction to Algorithm 1308.3.5 Calibration Experiment 1328.4 Learners’ Activity Issues 1338.5 Conclusion 136References 137PART V BIG DATA ANALYTICS9 ENTERPRISE INNOVATION MANAGEMENT IN INDUSTRY 4.0: MODELING ASPECTS 141V. Babenko9.1 Introduction 1429.2 Conceptual Model of Enterprise Innovation Process Management 1449.3 Formation of Restrictions for Enterprise Innovation Management Processes 1479.4 Formation of Quality Criteria for Assessing Implementation of Enterprise Innovation Management Processes 1489.5 Statement of Optimization Task of Implementation of Enterprise Innovation Management Processes 1489.6 Structural and Functional Model for Solving the Task of Dynamic 1509.7 Formulation of the Task of Minimax Program Management of Innovation Processes at Enterprises 1529.8 General Scheme for Solving the Task of Minimax Program Management of Innovation Processes at the Enterprises 1549.9 Model of Multicriteria Optimization of Program Management of Innovation Processes 1569.10 Conclusion 161References 16210 USING SIMULATION FOR DEVELOPMENT OF AUTOMOBILE GAS DIESEL ENGINE SYSTEMS AND THEIR OPERATIONAL CONTROL 165Mikhail G. Shatrov, Vladimir V. Sinyavski, Andrey Yu. Dunin, Ivan G. Shishlov, Sergei D. Skorodelov, Andrey L. Yakovenko10.1 Introduction 16610.2 Computer Modeling 16710.3 Gas Diesel Engine Systems Developed 16810.3.1 Electronic Engine Control System 16810.3.2 Modular Gas Feed System 16910.3.3 Common Rail Fuel System for Supply of the Ignition Portion of Diesel Fuel 16910.4 Results and Discussion 17210.4.1 Results of Diesel Fuel Supply System Simulation 17210.4.2 Results of Engine Bed Tests 18110.5 Conclusion 183References 184PART VI TOWARDS COGNITIVE COMPUTING11 CLASSIFICATION OF CONCEPT DRIFT IN EVOLVING DATA STREAM 189Mashail Althabiti and Manal Abdullah11.1 Introduction 19011.2 Data Mining 19011.3 Data Stream Mining 19111.3.1 Data Stream Challenges 19111.3.2 Features of Data Stream Methods 19311.4 Data Stream Sources 19311.5 Data Stream Mining Components 19311.5.1 Input 19411.5.2 Estimators 19411.6 Data Stream Classification and Concept Drift 19411.6.1 Data Stream Classification 19411.6.2 Concept Drift 19411.6.3 Data Stream Classification Algorithms with Concept Drift 19611.6.4 Single Classifier 19611.6.5 Ensemble Classifiers 19711.6.6 Output 20011.7 Datasets 20011.8 Evaluation Measures 20011.9 Data Stream Mining Tools 20111.10 Data Stream Mining Applications 20211.11 Conclusion 202References 20212 DYNAMICAL MASS TRANSFER SYSTEMS IN BUSLAEV CONTOUR NETWORKS WITH CONFLICTS 207Marina Yashina, Alexander Tatashev, Ivan Kuteynikov12.1 Introduction 20812.2 Construction of Buslaev Contour Networks 21012.3 Concept of Spectrum 21112.4 One-Dimensional Contour Network Binary Chain of Contours 21212.5 Two-Dimensional Contour Network-Chainmail 21412.6 Random Process with Restrictions on the Contour with the Possibility of Particle Movement in Both Directions 21812.7 Conclusion 218References 21913 PARALLEL SIMULATION AND VISUALIZATION OF TRAFFIC FLOWS USING CELLULAR AUTOMATA THEORY AND QUASIGASDYNAMIC APPROACH 223Antonina Chechina, Natalia Churbanova, Pavel Sokolov, Marina Trapeznikova, Mikhail German, Alexey Ermakov, Obidzhon Bozorov13.1 Introduction 22413.2 The Original CA Model 22413.3 The Slow-to-Start Version of the CA Model 22513.4 Numerical Realization 22513.5 Test Predictions for the CA Model 22913.6 The QGD Approach to Traffic Flow Modeling 23013.7 Parallel Implementation of the QGD Traffic Model 23213.8 Test Predictions for the QGD Traffic Model 23213.9 Conclusion 235References 236
Cloud Debugging and Profiling in Microsoft Azure
Use this collection of best practices and tips for assessing the health of a solution. This book provides detailed techniques and instructions to quickly diagnose aspects of your Azure cloud solutions.The initial chapters of this book introduce you to the many facets of Microsoft Azure, explain why and how building for the cloud differs from on-premise development, and outline the need for a comprehensive strategy to debugging and profiling in Azure. You learn the major types of blades (FaaS, SaaS, PaaS, IaaS), how different views can be created for different scenarios, and you will become familiar with the Favorites section, Cost Management & Billing blade, support, and Cloud Shell. You also will know how to leverage Application Insights for application performance management, in order to achieve a seamless cloud development experience. Application Insights, Log Analytics, and database storage topics are covered. The authors further guide you on identity security with Azure AD and continuous delivery with CI and CD covered in detail along with the capabilities of Azure DevOps. And you are exposed to external tooling and trouble shooting in a production environment.After reading this book, you will be able to apply methods to key Azure services, including App Service (Web Apps, Function Apps,and Logic Apps), Cloud Services, Azure Container Service, Azure Active Directory, Azure Storage, Azure SQL Database, Cosmos DB, Log Analytics, and many more.WHAT YOU WILL LEARN* Debug and manage the performance of your applications* Leverage Application Insights for application performance management* Extend and automate CI/CD with the help of various build tools, including Azure DevOps, TeamCity, and Cake bootstrapperWHO THIS BOOK IS FORApplication developers, designers, and DevOps personnel who want to find a one-stop shop in best practices for managing their application’s performance in the cloud and for debugging the issues accordinglyJEFFREY CHILBERTO is a software consultant specializing in the Microsoft technical stack, including Azure, BizTalk, MVC, WCF, and SQL Server. He has enterprise development experience in a wide range of industries, including banking, telecommunications, and healthcare in the USA, Europe, Australia, and New Zealand.SJOUKJE ZAAL is a managing consultant, Microsoft Cloud architect, and Microsoft Azure MVP with over 15 years of experience providing architecture, development, consultancy, and design expertise. She works at Capgemini, a global leader in consulting, technology services, and digital transformation.GAURAV ARORAA is a serial entrepreneur and startup mentor. He has a MPhil in computer science, and is a Microsoft MVP award recipient. He is a lifetime member of the Computer Society of India (CSI), an advisory member and senior mentor of IndiaMentor, certified as a Scrum trainer/coach, ITIL-F certified, and PRINCE-F and PRINCE-P certified. He is an open source developer, and a contributor to the Microsoft TechNet community. Recently, he was awarded the Icon of the Year for Excellence in Mentoring Technology Startups for the 2018-19 by Radio City, which is a Jagran Initiative, for his extraordinary work during his career of 22 years in the industry and the field of technology mentoring.ED PRICE is Senior Program Manager in Engineering at Microsoft, with an MBA in technology management. He ran Microsoft customer feedback programs for Azure Development and Visual Studio. He also was a technical writer at Microsoft for six years, helped lead TechNet Wiki, and now leads efforts to publish key guidance from AzureCAT (Customer Advisory Team).CHAPTER 1: Building Solutions in the Azure CloudCHAPTER GOAL: The first chapter will introduce the reader to the many facets of Microsoft Azure, why and how building for the cloud differs from on-prem development, and the need for a comprehensive strategy to debugging and profiling in Azure.We will cover the major types of blades (FaaS, SaaS, PaaS, IaaS).NO OF PAGES: 20SUB -TOPICS1. Microsoft Azure overview2. FaaS (Functions as a Service/Code as a Service) – a tour of Azure Functions and Logic Apps3. SaaS (Software as a Service) – Web Apps, Office3654. PaaS (Platform as a Service) – Cloud Services5. IaaS (Infrastructure as a Service) – Virtual Machines, SQL ServerChapter 2: The Azure PortalCHAPTER GOAL: The different Azure blades have many common features. This chapter will explore the Azure portal and some of the common features. The dashboard will be explained and how different views can be created for different scenarios. The Favorites section, the Cost Management & Billing blade, support, and Cloud Shell will all be introduced. The goal of the chapter is to get the reader comfortable with navigating the portal and feeling less overwhelmed, especially if this is the first time they’ve used the portal.NO OF PAGES: 35SUB - TOPICS1. Azure portal – what is a blade?2. Dashboard3. Navigation – favorites, subscription filtering, and searching4. You’re not alone – help and support5. Cost management6. Cloud shellChapter 3: Services in the CloudCHAPTER GOAL: Using examples in Azure Functions and Logic Apps, this chapter will provide an example of building an Azure Function and calling it from a Logic App. The logging and debugging capabilities will be explored in the appropriate blades.NO OF PAGES: 25SUB - TOPICS1. What is serverless?2. Azure Functions* Logic Apps* Using tags for billing Chapter 4: Application Insights and Log AnalyticsCHAPTER GOAL: Using the example built in Chapter 2, we will apply Application Insights and use it to monitor the solution.NO OF PAGES: 20SUB - TOPICS:1. Application Insights overview2. Adding to Azure Functions3. Adding Log Analytics to a Logic AppChapter 5: Databases and StorageCHAPTER GOAL: Building upon chapters 1 and 2, persistent storage will be incorporated into the example. Different implementations will be explored, including Azure SQL Database, Azure Cosmos DB, and Azure Storage Tables.NO OF PAGES: 25SUB - TOPICS:1. Azure SQL Database2. Azure Cosmos DB3. Azure Storage TablesCHAPTER 6: Azure Web AppCHAPTER GOAL: An Azure Web App will now be added to the example, and we’ll expand on the Application Insights capabilities, including custom events.NO OF PAGES: 20SUB – TOPICS:1. Overview of the Web App (functional)2. App Service blade overview – default and adding new graphs3. Diagnose and solve problemsChapter 7: Identity Security with Azure ADCHAPTER GOAL: Azure AD security will be added to the solution. OpenID will be used to secure the Azure Web App. The Logic App and Azure Function will be secured to only be accessible from the Web App (not directly to the user).NO OF PAGES: 20SUB – TOPICS:1. Overview of Azure AD2. Tracking user activity3. AD Connect Health4. AD reportingChapter 8: Continuous DeliveryCHAPTER GOAL: CI, CD will be covered. Capabilities of VSTS (covering Git, TFVC) will be shown, with the help of Build and Deployment. The chapter will focus on getting a better understanding of the state of a solution under change. What is currently deployed and where is it? How does VSTS and the Azure portal relate, and how can you get a complete view of the solution?NO OF PAGES: 25SUB – TOPICS:1. Introduction to VSTS2. Projects and dashboards3. Code – TFVC4. Code – Git5. Work, Wiki, Test – How these can be used to better understand the development process6. Build7. ReleaseChapter 9: External ToolingCHAPTER GOAL: Extend and automate CI, CD with the help of various build tools, viz. VSTS, TeamCity, and Cake bootstrapper.NO OF PAGES: 15SUB – TOPICS:1. Azure portal dashboard – widgets2. VSTS – pluginsChapter 10: Visualizing the Health of a SolutionCHAPTER GOAL: We cover troubleshooting in a production environment.NO OF PAGES: 18SUB – TOPICS:1. Remote combining reports for a complete picture2. Combining reports for a complete picture3. Disaster recovery and versioning of applications in a solution4. Enterprise reporting
Cybersecurity and Decision Makers
Cyber security is a key issue affecting the confidence of Internet users and the sustainability of businesses. It is also a national issue with regards to economic development and resilience. As a concern, cyber risks are not only in the hands of IT security managers, but of everyone, and non-executive directors and managing directors may be held to account in relation to shareholders, customers, suppliers, employees, banks and public authorities. The implementation of a cybersecurity system, including processes, devices and training, is essential to protect a company against theft of strategic and personal data, sabotage and fraud. Cybersecurity and Decision Makers presents a comprehensive overview of cybercrime and best practice to confidently adapt to the digital world; covering areas such as risk mapping, compliance with the General Data Protection Regulation, cyber culture, ethics and crisis management. It is intended for anyone concerned about the protection of their data, as well as decision makers in any organization. Marie de Freminville is a non-executive director and founding partner of Starboard Advisory. She is also a member of the IFA (French Institute of non-executive Directors), HEC Governance and Swiss Association of Women Directors. In addition, de Freminville is an expert in governance, financial performance, risk mapping and data protection.Foreword xiPreface xiiiIntroduction xviiCHAPTER 1. AN INCREASINGLY VULNERABLE WORLD 11.1. The context 11.1.1. Technological disruptions and globalization 11.1.2. Data at the heart of industrial productivity 31.1.3. Cyberspace, an area without boundaries 31.1.4. IT resources 41.2. Cybercrime 41.2.1. The concept of cybercrime 41.2.2. Five types of threats 61.2.3. Five types of attackers 91.3. The cybersecurity market 151.3.1. The size of the market and its evolution 151.3.2. The market by sector of activity 151.3.3. Types of purchases and investments 161.3.4. Geographical distribution 171.4. Cyber incidents 171.4.1. The facts 171.4.2. Testimonials versus silence 241.4.3. Trends 251.4.4. Examples 271.5. Examples of particularly exposed sectors of activity 301.5.1. Cinema 301.5.2. Banks 311.5.3. Health 341.5.4. Tourism and business hotels 351.5.5. Critical national infrastructure 361.6. Responsibilities of officers and directors 37CHAPTER 2. CORPORATE GOVERNANCE AND DIGITAL RESPONSIBILITY 392.1. Corporate governance and stakeholders 392.2. The shareholders 402.2.1. Valuation of the company 412.2.2. Cyber rating agencies 422.2.3. Insider trading 432.2.4. Activist shareholders 442.2.5. The stock exchange authorities 452.2.6. The annual report 452.3. The board of directors472.3.1. The facts 472.3.2. The four missions of the board of directors. 472.3.3. Civil and criminal liability 492.3.4. The board of directors and cybersecurity 502.3.5. The board of directors and data protection 532.3.6. The statutory auditors 542.3.7. The numerical responsibility of the board of directors 552.4. Customers and suppliers 562.5. Operational management 582.5.1. The impacts of digital transformation 582.5.2. The digital strategy 592.5.3. The consequences of poor digital performance 622.5.4. Cybersecurity 632.5.5. Merger and acquisition transactions 652.5.6. Governance and data protection, cybersecurity 66CHAPTER 3. RISK MAPPING 693.1. Cyber-risks 693.2. The context 713.3. Vulnerabilities 723.3.1. Fraud against the president 733.3.2. Supplier fraud 733.3.3. Other economic impacts 743.4. Legal risks 763.4.1. Class actions 763.4.2. Sanctions by the CNIL and the ICO 773.5. The objectives of risk mapping 783.6. The different methods of risk analysis 793.7. Risk assessment (identify) 813.7.1. The main actors 813.7.2. The steps 823.8. Protecting 833.9. Detecting 833.10. Reacting 843.11. Restoring 853.12. Decentralized mapping 853.12.1. The internal threat 853.12.2. Industrial risks 873.12.3. Suppliers, subcontractors and service providers 883.12.4. Connected objects 893.13. Insurance 943.14. Non-compliance risks and ethics 96CHAPTER 4. REGULATIONS 994.1. The context 994.1.1. Complaints filed with the CNIL 1004.1.2. Vectaury 1014.1.3. Optical Center 1024.1.4. Dailymotion 1034.2. The different international regulations (data protection) 1034.2.1. The United States 1044.2.2. China 1044.2.3. Asia 1054.2.4. Europe 1054.3. Cybersecurity regulations, the NIS Directive 1054.4. Sectoral regulations 1064.4.1. The banking industry 1064.4.2. Health 1084.5. The General Data Protection Regulation (GDPR) 1094.5.1. The foundations 1104.5.2. Definition of personal data 1104.5.3. The so-called “sensitive” data 1114.5.4. The principles of the GDPR 1124.5.5. The five actions to be in compliance with the GDPR 1134.5.6. The processing register 1134.5.7. The five actions to be carried out 1134.5.8. Cookies 1164.6. Consequences for the company and the board of directors 117CHAPTER 5. BEST PRACTICES OF THE BOARD OF DIRECTORS 1195.1. Digital skills 1205.2. Situational awareness 1215.2.1. The main issues 1215.2.2. Insurance 1255.3. Internal governance 1265.3.1. The CISO 1265.3.2. The CISO and the company 1275.3.3. Clarifying responsibilities 1315.3.4. Streamlining the supplier portfolio 1335.3.5. Security policies and procedures 1345.3.6. The human being 1375.4. Data protection 1385.4.1. Emails 1395.4.2. The tools 1415.4.3. Double authentication: better, but not 100% reliable 1425.5. Choosing your service providers 1425.6. The budget 1435.7. Cyberculture 1445.8. The dashboard for officers and directors 145CHAPTER 6. RESILIENCE AND CRISIS MANAGEMENT 1476.1. How to ensure resilience? 1476.2. Definition of a CERT 1496.3. Definition of a SOC 1496.4. The role of ENISA 1506.5. The business continuity plan 1506.6. Crisis management 1516.6.1. The preparation 1516.6.2. Exiting the state of sideration 1526.6.3. Ensuring business continuity 1536.6.4. Story of the TV5 Monde attack 1546.6.5. Management of the first few hours 1596.7. Crisis simulation 163Conclusion. The Digital Committee 165APPENDICES 167Appendix 1. Cybersecurity Dashboard 169Appendix 2. Ensuring Cybersecurity in Practice and on a Daily Basis 173Appendix 3. Tools to Identify, Protect, Detect, Train, React and Restore 175Glossary 179References 183Index 187
Das Internet der Dinge und Künstliche Intelligenz als Game Changer
Das Internet der Dinge (IoT) und Künstliche Intelligenz (KI) bieten im Zuge der Digitalisierung große Chancen für innovative Geschäftsmodelle und Produktivitätssteigerungen von Unternehmen. Diese Chancen nutzen gegenwärtig vor allem die großen Digital-Champions und Startups. Umfassend und aktuell greifen die Autoren diese Herausforderung für etablierte Unternehmen auf. Zentrale These des Buches ist, dass diese digitalen Technologien die Spielregeln des Wettbewerbs grundlegend verändern und zu Game Changern werden. Die Autoren belegen dies in vier Blöcken: Im ersten Teil erläutern sie wichtige Begriffe. Im zweiten Teil beschreiben Timothy Kaufmann und Hans-Gerd Servatius die Entwicklung zum neuen Management 4.0-Paradigma und dessen Bausteine. Der dritte Teil beschäftigt sich mit dem Wandel der Informations- und Kommunikationstechnik hin zu einer durch IoT- und KI-Technologien geprägten digitalen Architektur. Der abschließende vierte Teil skizziert die Bausteine einer Innovationspolitik 4.0 für den digitalen Wandel, die den Rahmen für Management- und Architektur-Innovationen liefert.Dank klarer Gliederung, anschaulicher Erläuterung der neuen Konzepte und zahlreicher Beispiele aus der Praxis ist das Buch eine wichtige Orientierungshilfe für alle, die nach erfolgreichen Wegen zu einem Management 4.0 und einer digitalen Architektur suchen.TIMOTHY KAUFMANN arbeitet bei SAP als Business Development Director für neue Technologien. Er ist Mitinitiator der Open Industry 4.0 Alliance.PROF. DR. HANS-GERD SERVATIUS ist geschäftsführender Gesellschafter des Innovationsspezialisten Competivation. Daneben lehrt er an der Universität Stuttgart und der RWTH Aachen. Er ist Autor mehrerer Bücher und zahlreicher Fachartikel.Digitale Technologien verändern den Wettbewerb.- Das neue Management 4.0-Paradigma.- Digitale Geschäftsmodelle gemeinsam mit IoT- und KI-Plattformpartnern.- Integration der Objectives and Key Results (OKR-) Methode in agile Strategie- und Innovationsprozesse.- Digitaler Wandel in einer evolutionären Organisation.- Produktivitätssteigerung mit Künstlicher Intelligenz.- Eine IT-Architektur 4.0 unterstützt IoT und KI.- IoT- und KI-Architekturen.- Datengetriebene Services und die Architektur 4.0.- Geschäftsprozesse und die Architektur 4.0.- Das Wertversprechen und die Architektur 4.0.- IoT- und KI-Innovationsökosysteme und die Architektur 4.0.- Auf dem Weg zu einer Innovationspolitik 4.0.
Mobile Security
Das Buch bietet eine fundierte Einführung in die Chronologie bekannter Angriffe und Verwundbarkeiten auf mobile Systeme und dessen konzeptionelle Einordnung der letzten zwei Dekaden. So erhält der Leser einen einmaligen Überblick über die Vielfältigkeit nachweisbar ausgenutzter Angriffsvektoren auf verschiedenste Komponenten mobiler drahtloser Geräte sowie den teilweise inhärent sicherheitskritischen Aktivitäten moderner mobiler OS. Eine für Laien wie Sicherheitsarchitekten gleichermaßen fesselnde Lektüre, die das Vertrauen in sichere mobile Systeme stark einschränken dürfte.DIRK WESTHOFF kann auf nunmehr 25 Jahre Erfahrung im Bereich der IT-Sicherheit verweisen. Sowohl als Chief-Researcher innerhalb der Europäischen Forschungseinrichtung eines weltweit agierenden Elektronikkonzerns, als auch als Professor für Informationssicherheit an verschiedenen Hochschulen. Er ist Mitautor einer Reihe von Patenten sowie von ca. 90 Veröffentlichungen auf dem Gebiet der IT-Sicherheit.Verwundbarkeit von 802.15.4: PiP-Injektion.- Verwundbarkeit von WLAN: KRACK-Angriff auf WPA2.- Verwundbarkeit von Bluetooth: Blueborne und Co..-Verwundbarkeiten von NFC und durch NFC.- Angriffe über das Baseband.- Android Sicherheitsarchitektur.- Horizontale Rechteausweitung.-Techniken zu Obfuskierung und De-Obfuskierung von Apps.- Apps mit erhöhten Sicherheitsbedarf: Banking App.- Positionsbestimmung durch Swarm-Mapping.- Seitenkanäle zur Überwindung des ‚Air-gap‘.- Ausblick: 5G Sicherheitsarchitektur.- .
Introducing the HTML5 Web Speech API
Leverage the power of HTML5 Web Speech API to quickly add voice capabilities to your websites. This project-oriented book simplifies the process of setting up and manipulating the API in the browser using little more than a text editor or free software.You'll be presented with a starting toolset that you can use to develop future projects, incorporate into your existing workflow and allow you to take your websites to the next level, reducing the reliance on entering choices through a keyboard and making the overall experience easier for customers.This excellent resource is perfect for getting acquainted with creating and manipulating browser-based APIs. You don’t have to convert your whole work process immediately; you can incorporate as little or as much as you want of the API, and build on this as your skills develop. We live in an age where speed and simplicity are of the essence – this book provides a perfect way to add speech capabilities to our websites, directly in the browser and with the minimum of fuss.Introducing the HTML5 Web Speech API is the right choice for developers who want to focus on simplicity to produce properly optimized content in modern browsers using tools already in their possession.WHAT YOU'LL LEARN* Implement the Web Speech API in a project* Explore some of the options for personalizing them for a project* Gain an appreciation of pointers around user experience and how this affects the API* Understand how to manage issues and security when using the API* Work through some example projects, from standalone demos to implementing with other tools or librariesWHO THIS BOOK IS FORWebsite developers who are already familiar with JavaScript, and are keen to learn how to leverage the Web Speech API to quickly add voice-enabled capabilities to a website, using little more than a text editor. It’s ideal for those in agile development teams, where time is of the essence, and the pressure is on to deliver results quickly.ALEX LIBBY is a front end engineer and seasoned computer book author, who hails from England. His passion for all things Open Source dates back to the days of his degree studies, where he first came across web development, and has been hooked ever since. His daily work involves extensive use of JavaScript, HTML and CSS to manipulate existing website content; Alex enjoys tinkering with different open source libraries to see how they work. He has spent a stint maintaining the jQuery Tools library, and enjoys writing about Open Source technologies, principally for front end UI development.1. Getting Started2. Exploring the APIs in More Detail3. Supporting Mobile Devices4. Combining the APIs- Building a ChatBot5. Project- Leaving Review Feedback6. Project- Building Alexa7. Project- Finding a Restaurant8. Project- Finding and Playing Music9. Project- Automating the Purchase ProcessAppendix: API Reference
Der PC als Medienzentrale
Dieses Buch ist ein Kompendium für die Nutzung eines PCs als Medienzentrale. Für verschiedene Betriebssysteme werden Schritt-für-Schritt-Anleitungen zur Verfügung gestellt, die dem Leser zeigen, wie eine Medienzentrale aufgebaut werden kann. Dies beinhaltet u.a. die Themen Multimedia und Fernsehen, produktive Tools, Server, Datenbanken und Spiele.RÜDIGER FOLLMANN studierte Elektrotechnik an der RWTH Aachen. 1995 begann er seine Arbeit als wissenschaftlicher Mitarbeiter im Bereich Messtechnik bei der IMST GmbH - einem Design- und Entwicklungshaus für elektronische Komponenten. Nach seiner Promotion leitete er hier zunächst das Team MMIC-Design, welches sich mit der Entwicklung von GaAs-und SiGe-Schaltungen beschäftigt. Anschließend war er als Teamleiter 'HF-Komponenten' für den Ausbau des Schaltungs-Design-Bereichs verantwortlich.Heute ist Follmann in seiner Funktion als 'Vice President' für die Akquisition von Großprojekten, technische Beratung sowie die Durchführung internationaler Seminare zuständig.Auswahl eines PCs und Zusammenstellen der Komponenten nach Bedarf.-Installation von MacOS (Hackintosh) und Praxistest (iMovie, Fortnite).-Installation und Konfiguration von Ubuntu (Triple Boot mit MacOS und Windows, …).-Netzwerke und Funktionen (SAMBA, Drucken, …).-Spiele und Emulatoren (Wii U, Switch, N64, …).-LINUX nutzen (Programme, Quelltexte, Grundlagen, …).-Fernsehen und Videos (VDR, Kodi, Amazon Prime, Ambilight, …).-Server und Datenbanken (Webseiten, CMS, Philips Hue, DLNA, …).-Textverarbeitung im Vergleich (Office Tools, LaTeX, Microsoft-Programme unter LINUX, …).
eLearning und Mobile Learning - Konzept und Drehbuch
In dem Praxishandbuch beschreibt die Autorin, wie ein Drehbuch nach lernpsychologischen und didaktischen Kriterien erstellt werden kann. Sie stellt Werkzeuge für das Konzipieren und Schreiben vor und evaluiert sie. Das Buch und die begleitende Website bieten zahlreiche Hilfsmittel: u. a. eine Checkliste zur Prüfung des fertigen Drehbuchs und eine Qualitätssicherungsmaßnahme, die Zeit und Kosten spart. Die Neuauflage wurde durchgehend aktualisiert. Für Projektleiter in Multimediaagenturen, Fachleute in Unternehmen sowie (zukünftige) Drehbuchautoren.DANIELA MODLINGER M.A. ist seit 1990 in der Verlags- und Multimedia-Branche tätig. Seit dem Jahr 2000 arbeitet sie als Medienautorin und Beraterin für eLearning-Anwendungen im institutionellen und betrieblichen Bildungswesen und bietet außerdem Inhouse-Schulungen zum Thema „Konzeption und Drehbuchschreiben für eLearning und Mobile Learning“ an. Ihre reiche Praxiserfahrung aus zahlreichen Projekten und ihrer weiterhin aktiven Unterrichtstätigkeit ist in dieses Buch eingeflossen.Wie kommt das Drehbuch vom Film zum eLearning - Wer bezieht Stellung bei der Produktion von eLearning - Briefing – welche Inhalte sollen ins Drehbuch? - Konzeption – wie kommt Struktur in die Inhalte? - Was macht ein gutes eLearning-Drehbuch aus? - Mobile Learning – Konzept und Drehbuch - Wie organisiere ich die Arbeit am Drehbuch? - Woran erkenne ich einen guten Medienautor? - Weiterführende Informationen - Checklisten - Glossar
Deep Learning kompakt für Dummies
Wollen Sie sich über Deep Learning informieren und vielleicht erste kleine Schritte machen, diese Technologie zu nutzen? Dann hilft Ihnen dieses Buch. Die Autoren erklären Ihnen, welchen Einfluss Deep Learning im Alltag hat und in welcher Beziehung es zu maschinellem Lernen steht. Sie sammeln erste eigene Erfahrungen mit vorgegebenen Python-Programmen und verstehen so die Funktionsweise von neuronalen Netzen und wie Bilder klassifiziert und Sprache sowie Text verarbeitet werden. So ist dieses Buch ein schneller erster und verständlicher Einstieg in Deep Learning. John Paul Mueller ist freier Autor und technischer Redakteur. Er hat das Schreiben im Blut. Bis heute hat er 100 Bücher und mehr als 600 Zeitschriftenartikel geschrieben. Seine Themen reichen von Netzwerken bis Haussicherheit und von Datenbankmanagement bis Programmierung.Luca Massaron ist Data Scientist und spezialisiert auf die Aufbereitung und Analyse von Big Data. Er beherrscht die einfachsten und effektivsten Data-Mining- und Maschinelles-Lernen-Techniken und macht so aus Big Data Smart Data. Als Marketing-Consultant und -Forscher hat er seit dem Jahr 2000 mit Data Science zu tun, mit verschiedenen Kunden und in verschiedenen Märkten. Er ist Top-Ten-Kaggle-Data-Scientist.ÜBER DIE AUTOREN9Widmung von John Mueller 9Widmung von Luca Massaron 10Danksagung von John Mueller 10Danksagung von Luca Massaron 10EINFÜHRUNG21Über dieses Buch 21Törichte Annahmen über den Leser 23Symbole, die in diesem Buch verwendet werden 23Weitere Ressourcen 24Wie es weitergeht 24TEIL I: EINFÜHRUNG IN DEEP LEARNING 27KAPITEL 1 EINFÜHRUNG IN DEEP LEARNING29Definition von Deep Learning 30Künstliche Intelligenz als Oberbegriff 30Die Rolle der KI 32Maschinelles Lernen als Teil der KI 35Deep Learning als Form des maschinellen Lernens 37Deep Learning in der Praxis 39Der Prozess des Lernens 39Aufgabenbewältigung mit Deep Learning 39Deep Learning als Bestandteil größerer Anwendungen 40Programmierumgebung für Deep Learning 40Deep Learning: Hype vs Realität 43Ihre ersten Schritte 43Ungeeignete Szenarien für Deep Learning 43KAPITEL 2 MASCHINELLES LERNEN45Definition von maschinellem Lernen 45Funktionsweise von maschinellem Lernen 46Lernen durch unterschiedliche Strategien 47Training, Validierung und Test 49Suche nach Generalisierungen 51Der Einfluss von Bias 51Beachtung der Komplexität des Modells 52Lernstrategien und Arten von Algorithmen 52Fünf wesentliche Strategien 53Verschiedene Arten von Algorithmen 54Sinnvolle Einsatzbereiche für maschinelles Lernen 59Anwendungsszenarien für maschinelles Lernen 59Die Grenzen des maschinellen Lernens 62KAPITEL 3 INSTALLATION UND VERWENDUNG VON PYTHON65Verwendung von Python in diesem Buch 66Installation von Anaconda 66Anaconda von Continuum Analytics 67Installation von Anaconda unter Linux 67Installation von Anaconda unter Mac OS X 68Installation von Anaconda unter Windows 70Jupyter Notebook 72Verwendung von Jupyter Notebook 73Verwendete Datensätze in diesem Buch 79Erstellen einer Anwendung 81Die Arbeit mit Zellen 81Hinzufügen von Dokumentationszellen 82Andere Zellarten 83Einrückung von Codezeilen 83Hinzufügen von Kommentaren 85Weitere Informationen zu Python 88Arbeiten in der Cloud 89Verwendung der Datensätze und Kernels von Kaggle 89Verwendung von Google Colaboratory 89KAPITEL 4 FRAMEWORKS FÜR DEEP LEARNING93Das Framework-Prinzip 94Unterschiede zwischen Frameworks 94Hohe Beliebtheit von Frameworks 95Frameworks speziell für Deep Learning 96Auswahl eines Frameworks 97Einfache Frameworks für Deep Learning 98Kurzvorstellung von TensorFlow 101TEIL II: GRUNDLAGEN VON DEEP LEARNING 113KAPITEL 5 RECHNEN MIT MATRIZEN115Nötige mathematische Grundlagen 116Die Arbeit mit Daten 116Matrixdarstellung von Daten 117Skalar-, Vektor- und Matrixoperationen 118Erzeugung einer Matrix 119Multiplikation von Matrizen 121Fortgeschrittene Matrixoperationen 123Datenanalysen mit Tensoren 125Effektive Nutzung von Vektorisierung 127Der Lernprozess als Optimierung 128Kostenfunktionen 128Minimierung des Fehlers 129Die richtige Richtung 130KAPITEL 6 GRUNDLAGEN DER LINEAREN REGRESSION133Kombination von Variablen 134Die einfache lineare Regression 134Die multiple lineare Regression 135Verwendung des Gradientenabstiegs 137Die lineare Regression in Aktion 138Vermischung von Variablen unterschiedlichen Typs 140Modellierung der Antworten 140Modellierung der Merkmale 141Umgang mit komplexen Zusammenhängen 142Nutzung von Wahrscheinlichkeiten 144Spezifikation einer binären Antwort 144Umwandlung numerischer Schätzungen in Wahrscheinlichkeiten 145Schätzung der richtigen Merkmale 148Irreführende Ergebnisse durch inkompatible Merkmale 148Vermeidung einer Überanpassung durch Merkmalsauswahl und Regularisierung 149Lernen aus einzelnen Beispielen 150Verwendung des Gradientenabstiegs 150Stochastisches Gradientenabstiegsverfahren 151KAPITEL 7 EINFÜHRUNG IN NEURONALE NETZE155Das faszinierende Perzeptron 156Höhen und Tiefen des Perzeptrons 156Die Funktionsweise des Perzeptrons 157Trennbare und nicht trennbare Daten 158Komplexere Lernverfahren und neuronale Netze 160Das Neuron als Grundbaustein 160Vorwärtsausrichtung in Feedforward-Netzen 162Schichten und noch mehr Schichten 164Lernen mittels Rückwärtspropagierung 167Vermeidung von Überanpassung 170KAPITEL 8 ENTWURF EINES EINFACHEN NEURONALEN NETZES173Grundlegende Funktionsweise neuronaler Netze 173Definition der grundlegenden Architektur 175Die wichtigsten Funktionen eines neuronalen Netzes 176Lösen eines einfachen Problems 180Ein Blick ins Innere von neuronalen Netzen 183Auswahl der richtigen Aktivierungsfunktion 183Auswahl eines cleveren Optimierers 185Auswahl einer sinnvollen Lernrate 186KAPITEL 9 DEEP LEARNING IM DETAIL187Daten, Daten, Daten 188Strukturierte und unstrukturierte Daten 188Mooresches Gesetz 189Datenwachstum infolge des mooreschen Gesetzes 191Vorteile durch all die neuen Daten 191Innovationen dank Daten 192Rechtzeitigkeit und Qualität von Daten 192Mehr Tempo bei der Datenverarbeitung 193Nutzung leistungsstarker Hardware 194Weitere Investitionen in Deep Learning 195Neuerungen von Deep Learning 195Immer mehr Schichten 196Bessere Aktivierungsfunktionen 198Regularisierung durch Dropout 199Die Suche nach noch smarteren Lösungen 201Kontinuierliches Lernen (Online Learning) 201Übertragung von Wissen (Transfer Learning) 201Simple Komplettlösungen (End-to-End Learning) 202KAPITEL 10 KONVOLUTIONSNETZE205Bilderkennung mit Konvolutionsnetzen 206Grundsätzlicher Aufbau von digitalen Bildern 206Konvolutionen (Faltungen) 208Funktionsprinzip von Konvolutionen 209Vereinfachtes Pooling 212Beschreibung der LeNet-Architektur 214Erkennung von Kanten und Formen in Bildern 219Visualisierung von Konvolutionen 220Einige erfolgreiche Architekturen 222Übertragung von Wissen (Transfer Learning) 223KAPITEL 11 REKURRENTE NEURONALE NETZE227Einführung in rekurrente neuronale Netze 227Modellierung von Sequenzen durch Erinnerung 228Erkennung und Übersetzung von Sprache 230Korrekte Beschriftung von Bildern 233LSTM-Zellen (Long Short-Term Memory) 234Unterschiedliche »Gedächtnisse« 235Die LSTM-Architektur 235Verschiedene LSTM-Varianten 238Der Aufmerksamkeitsmechanismus 239TEIL III: ANWENDUNG VON DEEP LEARNING 241KAPITEL 12 BILDKLASSIFIKATION 243Herausforderungen bei der Bildklassifikation 244ImageNet und Alternativen 244Erstellen von Zusatzbildern (Image Augmentation) 246Unterscheidung von Verkehrszeichen 249Vorbereitung der Bilddaten 250Durchführen einer Klassifikation 253KAPITEL 13 KOMPLEXE KONVOLUTIONSNETZE259Unterschiedliche Aufgaben beim Erkennen von Objekten im Bild 260Lokalisierung von Objekten 261Klassifikation mehrerer Objekte 262Annotation mehrerer Objekte in Bildern 263Segmentierung von Bildern 264Wahrnehmung von Objekten in ihrer Umgebung 265Funktionsweise von RetinaNet 266Verwendung des Codes von Keras RetinaNet 267Böswillige Angriffe auf DL-Anwendungen 272Heimtückische Pixel 274Hacking mit Stickern und anderen Artefakten 275KAPITEL 14 SPRACHVERARBEITUNG277Verarbeitung von Sprache 278Verstehen durch Tokenisierung 279Zusammenführen aller Texte 281Auswendiglernen von wichtigen Sequenzen 284Semantikanalyse durch Worteinbettungen 284KI für Stimmungsanalysen 289KAPITEL 15 AUTOMATISCH ERZEUGTE MUSIK UND VISUELLE KUNST297Computergenerierte Kunst 298Nachahmung eines künstlerischen Stils 298Statistische Verfahren als Grundlage 300Der Unterschied zwischen Kreativität und Deep Learning 302Imitation eines Künstlers 303Neue Werke im Stile eines bestimmten Malers 303Kombination von Stilen zum Erzeugen neuer Werke 305Überzeugende Imitate mit einem GAN 305Musikkomposition mit Deep Learning 306KAPITEL 16 GENERATIVE ADVERSARIAL NETWORKS309Konkurrierende neuronale Netze 310Wettbewerb als Schlüssel zum Erfolg 310Realistischere Ergebnisse 313Komplexere GANs für anspruchsvollere Aufgaben 320Realistische Imitate von Promigesichtern 321Mehr Bilddetails und Bildübersetzung 321KAPITEL 17 VERSTÄRKENDES LERNEN MIT DEEP LEARNING 323Strategische Spiele mit neuronalen Netzen 324Grundprinzip des verstärkenden Lernens 324Simulierte Spielumgebungen 326Q-learning 330Funktionsweise von AlphaGo 333Eine echte Gewinnerstrategie 335Selbstständiges Lernen in großem Stil 337TEIL IV: DER TOP-TEN-TEIL 339KAPITEL 18 ZEHN ANWENDUNGSSZENARIEN FÜR DEEP LEARNING341Kolorieren von Schwarz-Weiß-Aufnahmen 341Analyse der Körperhaltung in Echtzeit 342Verhaltensanalysen in Echtzeit 343Übersetzung von Sprachen 344Einsparungen mit Solaranlagen 345Computer als Spielgegner 345Erzeugung von Stimmen 346Demografische Analysen 347Kunst basierend auf normalen Fotos 348Vorhersage von Naturkatastrophen 348KAPITEL 19 ZEHN UNVERZICHTBARE TOOLS FÜR DEEP LEARNING351Kompilieren von mathematischen Ausdrücken mit Theano 351Stärkung von TensorFlow mit Keras 352Dynamische Berechnung von Graphen mit Chainer 353Einrichtung einer MATLAB-ähnlichen Umgebung mit Torch 354Dynamische Ausführung von Aufgaben mit PyTorch 354Schnellere DL-Forschung dank CUDA 355Geschäftliche Erfolge mit Deeplearning4j 357Data-Mining mit Neural Designer 358Algorithmentraining mit Microsoft Cognitive Toolkit (CNTK) 359Volle GPU-Leistung mit MXNet 359Stichwortverzeichnis 361
Building React Apps with Server-Side Rendering
Leverage the benefits of both client-side and server-side rendering to get the most out of your React applications. By the end of this book you will be able to build and deploy React applications using the Next.js framework to fully render server-side HTML on every Web page.You'll begin by reviewing JavaScript fundamentals and how they work with the core principles of React. You'll then move on to Next.js, the React framework for server-rendered applications. Using this framework, you will create a fast and secure solutional React application that renders content on the server-side, protects sensitive information, and optimizes response times. Before deploying the application using Docker containers, you'll create automated unit tests to verify that every component is appropriately doing its jobBuilding React Apps with Server-Side Rendering also covers other fun and interesting topics such as Bootstrap 4, JSX (JavaScript XML), adding styling to your React applications, and much more. By the end of this book, you will be able to build and deploy React applications that fully render server-side HTML on every page. In the end you'll have a client-side rendered React application that integrates server-side rendering into it using Next.js framework.WHAT YOU'LL LEARN* Examine fundamental concepts of JavaScript (ES 2015)* Create client-side apps using JavaScript frameworks React and Redux* Add server-side rendering to React apps using the NextJS FrameworkWHO THIS BOOK IS FORWeb developers who have prior experience in working with JavaScript, HTML and CSS, who wish to step up a level and create better web applications using modern JavaScript frameworks like React, Reduct & Next.MOHIT THAKKAR is a Software Engineer with a multinational company. He has published five books and a research paper in the International Journal of Advanced Research in Management, Architecture, Technology and Engineering.Chapter 1, JavaScript FundamentalsChapter Goal:· Introduction to JavaScript· Constants· Variable Declaration· Rest Parameters· Spread Syntax· Destructuring· Control Loops· Type Conversion· Operators· Functions· Closures· Arrays· Classes & Modules· DOM Modification· Error Handling· HTTP Requests· Promises· Form Handling in JSChapter 2, Introducing React.jsChapter Goal:· Installing Node.js· Installing React· Basic Concepts of Reacto Single Page Applicationso Immutabilityo Purityo Compositiono Presentational vs Container Componentso Eventso Form Handling in Reacto Hooks· React Element using JavaScript· React Element using JSX· Stateless & Stateful React Components· Creating Your First React Component· Working with Data· AJAX Calls· Working with the State Object· Styling React Componentso CSS in Reacto SASS in Reacto Styled Components· Babel· WebpackChapter 3, Next.jsChapter Goal:· Introduction to Next.js· Features of Next.js· Getting Started· Routing in Next.js· Dynamic Loading· Adding Multimedia Content· Creating Interactive App using Next.js· Configuring Webpack & Babel· Getting Data from Remote Server· Using Redux with Next.js· Using GraphQL with Next.jsChapter 4, Adding Server-Side Rendering to Your React ApplicationChapter Goal:· Importance of Server-Side Rendering· Building a Simple React App· Using DOM to Post Content· Using React Calls to Post Content· Creating Functional React Component· Passing Props to Functional React Component· Converting Functional Component to Class Component· Using JSX & Next.js for Server-Side Rendering· Adding CSS to Next.js· Integrating Bootstrap 4 to Your AppChapter 5, Unit Testing using JestChapter Goal:· Setting Up Jest· Writing Your First Test Using Jest· Matchers· Using Enzyme to Access React DOM· Testing a React ComponentChapter 6, Deploying Your App to a ServerChapter Goal:· Deployment Basics· Setting up Environment Variables· Introduction to Docker· Creating a Docker Container for Your App· Hosting the Container
Tribe of Hackers Security Leaders
TRIBAL KNOWLEDGE FROM THE BEST IN CYBERSECURITY LEADERSHIPThe Tribe of Hackers series continues, sharing what CISSPs, CISOs, and other security leaders need to know to build solid cybersecurity teams and keep organizations secure. Dozens of experts and influential security specialists reveal their best strategies for building, leading, and managing information security within organizations. Tribe of Hackers Security Leaders follows the same bestselling format as the original Tribe of Hackers, but with a detailed focus on how information security leaders impact organizational security.Information security is becoming more important and more valuable all the time. Security breaches can be costly, even shutting businessesand governments down, so security leadership is a high-stakes game. Leading teams of hackers is not always easy, but the future of your organization may depend on it. In this book, the world’s top security experts answer the questions that Chief Information Security Officers and other security leaders are asking, including:* What’s the most important decision you’ve made or action you’ve taken to enable a business risk?* How do you lead your team to execute and get results?* Do you have a workforce philosophy or unique approach to talent acquisition?* Have you created a cohesive strategy for your information security program or business unit?Anyone in or aspiring to an information security leadership role, whether at a team level or organization-wide, needs to read this book. Tribe of Hackers Security Leaders has the real-world advice and practical guidance you need to advance your cybersecurity leadership career.MARCUS J. CAREY is a cybersecurity researcher and inventor with patents in cryptography and cybersecurity and over 25 years of experience in protecting the public, private, and government sectors. He was the Founder and CEO of Threatcare which was acquired by ReliaQuest. Follow Marcus on Twitter at @marcusjcarey. JENNIFER JIN graduated from The University of Texas at Austin in 2017 and started her first job at Threatcare soon after. She became Threatcare's Head of Communications and Marketing before Threatcare was acquired by ReliaQuest. Jennifer is now the Product Marketing Manager at Mio and is the co-author of Tribe of Hackers. Follow Jennifer on Twitter at @jen_jin. Acknowledgments viiIntroduction viii01 Marcus J. Carey 102 Ian Anderson 603 James Arlen 1404 Mark Arnold 2505 Andrew Bagrin 3106 Zate Berg 3607 Tash Bettridge 4608 Philip Beyer 5009 Kyle Bubp 5810 Joanna Burkey 6411 Bill Burns 7012 Lesley Carhart 7813 Christopher Caruso 8314 Mike Chapple 9115 Steve Christey Coley 9816 Jim Christy 10217 Chris Cochran 11018 Edward Contreras 11419 Dan Cornell 11720 Mary Ann Davidson 12421 Kimber Dowsett 13222 David Evenden 13623 Martin Fisher 14124 Chris Hadnagy 14725 Andrew Hay 15326 Mark Hillick 15727 Terence Jackson 16528 Tanya Janca 16829 David Kennedy 17430 Joe Krull 18031 Robert M. Lee 18832 Rafal Los 19433 Tracy Z. Maleeff 19934 Jeffrey Man 20235 Angela Marafino 20936 James Medlock 21237 Kent Nabors 22138 Charles Nwatu 22839 Greg Ose 23240 Edward Prevost 23941 Ray [REDACTED] 24442 Stephen A. Ridley 24943 David Rook 25544 Marina Segal 25945 Khalil Sehnaoui 26246 Jackie Singh 26747 Dan Tentler 27148 Eugene Teo 27449 Dominique West 27950 Jake Williams 28351 Wirefall 288Appendix: Recommended Reading 293
Modern Full-Stack Development
Explore what React, Node, TypeScript, Webpack, and Docker have to offer individually, and how they all fit together in modern app development.React is one of the most popular web development tools available today, and Node.js is extremely popular for server-side development. The fact that both utilize JavaScript is a big selling point, but as developers use the language more, they begin to recognize the shortcomings, and that’s where TypeScript comes in and why it’s gaining in popularity quickly. Add Webpack and Docker to the mix, and you’ve got a potent full development stack on which to build applications.You’ll begin by building a solid foundation of knowledge and quickly expand it by constructing two different real-world apps. These aren’t just simple, contrived examples but real apps that you can choose to install on your servers and use for real. By the end, you will have a solid grasp of building apps with React, Node.js, and TypeScript and a good grasp on how Webpack can be used to optimize and organize your code for deployment. You’ll also understand how Docker can be used to run the apps you build in a clear and well-defined way, all of which will be able to springboard you into creating more advanced apps on your own.WHAT YOU'LL LEARN* Get a project started and logically structure it* Construct a user interface with React and Material-UI * Use WebSockets for real-time communication between client and server* Build a REST API with Node and Express as another approach to client-server communication* Package the app with Webpack for optimized delivery* Take a completed app and wrap it up with Docker for easy distribution* Review a host of other ancillary topics including NPM, Semantic versioning, Babel, NoSQL, and moreWHO THIS BOOK IS FORWeb developers with basic knowledge of HTML, JavaScript, CSS, and CLI tools who are interested in and in all aspects of application development, and using TypeScript instead of straight JavaScript.FRANK ZAMMETTI is the author of 12 Apress titles on a variety of web and mobile development topics. He has over 25 years of experience as a developer. You can find him on Twitter @fzammetti.1. Server-Side Action: Node.js and NPM2. A Few More Words: Advanced Node and NPM3. Client-Side Adventures: React4. A Few More Words: Advanced React5. Building a Strong Foundation: TypeScript6. A Few More Words: Advanced TypeScript7. Tying it up in a Bow: Webpack8. Delivering the Goods: MailBag, the Server9. Delivering the Goods: MailBag, the Client10. Time for Fun: BattleJong, the Server11. Tying It Up in a Bow with Webpack12. Bringing the Dev Ship into Harbor With Docker
CCNA Certification Practice Tests
THE DEFINITIVE STUDY GUIDE FOR THE NEW CCNA AND CCNP CERTIFICATIONSCCNA Certification Practice Test: Exam 200-301 is the definitive practice guide for professionals preparing for the new CCNA or CCNP certifications, and for those looking to master the latest technologies in Cisco networking fundamentals. The practice exams, written by 17-year industry professional Jon Buhagiar, explore a broad range of exam objectives essential for passing the certification exam.The CCNA exam provides the certification needed to grow your IT career. Each practice exam in this book is designed to prepare you to pass the CCNA by imparting the skills, knowledge, and practical coursework needed to master all exam topics.This book includes access to six practice tests featuring 1,200 exam questions, as well as two full practice exams. Most importantly, the six practice tests featured in Certification Practice Tests Exam 200-301 cover a variety of topics, including:* Security fundamentals* Automation and programmability* IP services* IP connectivity* Network success* Network fundamentalsIn addition to a plethora of exam topics and plenty of sample questions to prepare you for the CCNA exam, readers will also have access to online test tools featuring additional practice questions and study tools to assist in reinforcing the knowledge you’ve gained with the book.Learn the foundational knowledge you need to pass the CCNA or CCNP and take your career to the next level by preparing with CCNA Certification Practice Tests.ABOUT THE AUTHORJON BUHAGIAR CCNA, MCSA, MCSE, N+, A+, BS/ITM, is Supervisor of Network Operations at Pittsburgh Technical College. In this role, he manages datacenter and network infrastructure operations and IT operations and is involved in project management of projects supporting the quality of education at the college. He also serves as an adjunct instructor in the college’s School of Information Technology department, where he has taught courses for Microsoft and Cisco certification. He has spoken at numerous systems-related conferences, and has authored and edited many Sybex study guide titles. Introduction xvChapter 1 Network Fundamentals (Domain 1) 1Chapter 2 Network Access (Domain 2) 43Chapter 3 IP Connectivity (Domain 3) 87Chapter 4 IP Services (Domain 4) 139Chapter 5 Security Fundamentals (Domain 5) 161Chapter 6 Automation and Programmability (Domain 6) 193Chapter 7 Practice Exam 1 213Chapter 8 Practice Exam 2 235Appendix Answers to Practice Test Questions 255Chapter 1: Network Fundamentals (Domain 1) 256Chapter 2: Network Access (Domain 2) 284Chapter 3: IP Connectivity (Domain 3) 309Chapter 4: IP Services (Domain 4) 342Chapter 5: Security Fundamentals (Domain 5) 355Chapter 6: Automation and Programmability (Domain 6) 375Chapter 7: Practice Exam 1 389Chapter 8: Practice Exam 2 402Index 417
Women of Color in Tech
HIGHLY COMMENDED INTERNATIONAL BUSINESS BOOK FROM THE 2021 BUSINESS BOOK AWARDSNONFICTION BOOK AWARDS SILVER WINNER FROM THE NONFICTION AUTHORS ASSOCIATIONWINNER OF COMPTIA'S 2020 DIVERSITY TECHNOLOGY LEADER SPOTLIGHT AWARDWINNER OF A TECHNOLOGY RISING STAR AWARD FROM THE 2020 WOMEN OF COLOR IN STEM CONFERENCEBREAK THROUGH BARRIERS TO ACHIEVE A REWARDING FUTURE IN TECHWomen of Color in Tech: A Blueprint for Inspiring and Mentoring the Next Generation of Technology Innovators will help you overcome the obstacles that often prevent women of color from pursuing and staying in tech careers. Contrary to popular belief, tech careers are diverse and fun—and they go far beyond just coding. This book will show you that today's tech careers are incredibly dynamic, and you'll learn how your soft skills—communication, public speaking, networking—can help you succeed in tech.This book will guide you through the process of cultivating strong relationships and building a network that will get you were you want to be. You'll learn to identify a strong, knowledgeable support network that you can rely on for guidance or mentorship. This step is crucial in getting young women of color into tech careers and keeping them there.* Build your professional network to get the guidance you need* Find a mentor who understands your goals and your struggles* Overcome negativity and stay motivated through difficult times* Identify and develop the soft skills that you need to get ahead in techRead this book to help bring to life your vision of a future in tech. With practical advice and inspiring stories, you’ll develop the right tools and the right mindset. Whether you're just considering going into tech or you want to take your current career to the next level, Women of Color in Tech will show you how to uncover the resources you need to succeed.SUSANNE TEDRICK is a technical specialist for a leading Fortune 50 technology company. Fiercely committed to increasing participation of women and people of color in STEM educational and professional opportunities, she is a career mentor for the Pathways in Technology Early College High School (P-TECH) Initiative and a volunteer workshop technical assistant for Black Girls Code, a non-profit that empowers girls of color to develop in-demand IT skills and prepare to advance careers in tech. Foreword xxiiiIntroduction xxvCHAPTER 1 THE CURRENT STATE OF WOMEN OF COLOR IN TECH 1The Realities 1What’s Going On? 3Early Childhood 4Primary, Middle, and High School 5College 6The Workplace 8Why You Should Be Here 10My Journey to Tech 10It’s (Slowly) Getting Better 12Support 13Number of Job Opportunities 14Pay 15It’s Fun 15Opportunities to Help Others 16We Need You! 16Tech Career Misconceptions 17Tech Careers Require Constant, Hands-On Programming 18All Tech Careers Require a Four-Year Degree 18All Tech Careers Require Studying Computer Science, Computer Engineering, or Another Specific Field 18All Tech Careers Pay a Ton of Money 19Tech Careers Exist Only at Top Tech Companies 20Tech Careers Are Only for People with Certain Backgrounds, Grades, Etc. 21Creating a Blueprint 25Summary 26CHAPTER 2 THE DIFFERENT FLAVORS OF TECH CAREERS 27Business Analysis 29What They Do 29Top Skills Needed 31Educational Requirements 31For Additional Information 32Consulting 32What They Do 33Top Skills Needed 34Educational Requirements 35For Additional Information 35Computer Networking 36What They Do 37Top Skills 37Educational Requirements 38For Additional Information 38Data Science 39What They Do 40Top Skills 40Educational Requirements 41For Additional Information 41Information Security 42What They Do 42Top Skills 44Educational Requirements 44For Additional Information 45Product Management 45What They Do 46Top Skills 46Educational Requirements 47For Additional Information 47Project Management 47What They Do 48Top Skills 49Educational Requirements 49For Additional Information 50Software Development and Engineering 50What They Do 51Top Skills 52Educational Requirements 53For Additional Information 53Technical Sales 53What They Do 54Top Skills 54Educational Requirements 55For Additional Information 55Technical Support 55What They Do 56Top Skills 56Educational Requirements 57For Additional Information 57User Experience Design 57What They Do 58Top Skills 59Educational Requirements 60For Additional Information 60Web Design 60What They Do 61Top Skills 61Educational Requirements 61For Additional Information 62Where Do You Fit In? 62What Are Your Strengths and Your Weaknesses? 62What Do You Value? 63What Are Your Interests? 65Summary 65CHAPTER 3 INDUSTRY AND OTHER OPTIONS 67Advertising and Marketing 68Civics and Public Interest 69Construction and Manufacturing 71Education 73Finance 75Healthcare 77The US Government 79On Your Own: Entrepreneurism 82What It Takes to Be an Entrepreneur 83Getting Started 84Research Your Market 84Write a (Solid) Business Plan 85Estimate Initial Costs 86Determine Sources of Initial Funding 86Keep Going or Stop? 88Summary 89CHAPTER 4 EMERGING TECHNOLOGIES 91What is an Emerging Technology? 91The Future of Work 92Artificial Intelligence 93The Difference Between Artificial Intelligence, Machine Learning, and Deep Learning 94Why Does It Matter? 95Where Can I Learn More? 96Augmented, Virtual, and Mixed Reality 97Why Does It Matter? 98Where Can I Learn More? 99Blockchain 99Why Does It Matter? 101Where Can I Learn More? 102Cloud Computing 102Service Models 104Deployment Models 106Why Does It Matter? 106Where Can I Learn More? 107Internet of Things 108Why Does It Matter? 109Where Can I Learn More? 1103D Printing 110Why Does It Matter? 111Where Can I Learn More? 112Keeping Up with Technology Trends 112Information Sources 113Tools 114Summary 115CHAPTER 5 BUILDING YOUR NETWORK 117The Importance of Building Your Network 117Where to Network 119Mentoring 121Where to Find Mentors 121Blueprints for a Beneficial Mentoring Relationship 121You’ve Found a Mentor—Now What? 124Listen, This Isn’t Working Out 125You Need a Sponsor, Not a Mentor 126Overcoming Social Anxiety 127Strengthening Your Connections 129Summary 130CHAPTER 6 BUILDING YOUR SKILLS 131Skills Gap Analysis: Where Do You Need to Be? 131Exception 1 133Exception 2 133Formal Education (Is It Worth It?) 133Trade Schools 135Massive Online Open Courses 137Boot Camps 138Hackathons 139Conferences and Seminars 140Internships, Externships, and Co-ops 141Volunteering 143Certifications 144Do You Need Certification? 145How to Pay for Skills Training 146Loans 146Student Loans 146Personal Loans 147Credit and Charge Cards 147Use Credit Responsibly and Sparingly 148Grants and Scholarships 148Tuition Reimbursement 149Deferred Tuition Plans and Income Share Agreements 150Crowdfunding 151Summary 152CHAPTER 7 DEMONSTRATING YOUR SKILLS 153Building Your Resume(s) 153Chronological 154Functional 155Combination 156What Every Resume Must Have 157The Heading 158The Body 158What You Can Leave Out 162First Impressions Matter 165Additional Tips and Resources for Resume Writing 166LinkedIn 169The Difference between LinkedIn and Your Resume 170Creating a LinkedIn Profile 171Essential Elements of a LinkedIn Profile 171Additional LinkedIn Tips 174Writing 175Online Publishing Platforms 175Academic and Professional Journals 176Public Speaking 177Public Speaking Misconceptions 178Public Speaking Basics 178Where to Find Speaking Opportunities 180Other Creative Ways to Show What You Know 181GitHub 181Personal Websites 182Building Your Interviewing Skills 184Becoming a Better Interviewee 185Summary 187CHAPTER 8 JOB OFFERS AND NEGOTIATING COMPENSATION 189A Cautionary Tale (or, Don’t Do This!) 189Understanding Compensation and Salary 191Compensation 191Salary 192The Job Offer Process 193Evaluating a Job Offer 194Do You Like the Job and This Company? 195Are Your “Must Haves” Addressed? 196Is the Salary Offered Fair? 197Why Negotiate Your Job Offer? 199More of What You Want, Now 199Solidify Your Negotiation Skills 199Show Employers You Know Your Value 199There Are Few Downsides to Asking 199You May Not Get as Much Later 200You’ll Hurt Your Finances in the Long Run 201Preparing to Negotiate 201Negotiation Dos and Don’ts 202You Didn’t Negotiate! Is It Too Late? 205Additional Resources 205Final Thoughts—It’s Okay to Want (and Ask for) Money 206Summary 207CHAPTER 9 WHEN TIMES GET TOUGH 209The Need for Grid 209The Problem with “Twice as Good” 212Failure 213Impostor Syndrome 216Bias 218Tokenism and Being “The Only” 221Bullying 222Lack of Support and Help 223The Importance of Mental Health 226Allies and When They Fall Short 228The Need for Allyship 228Allies Are Human 229Summary 230CHAPTER 10 THE IMPORTANCE AND JOY OF GIVING BACK 233Why Give Back 233You Make a Difference 233Helping Others See and Know What’s Possible 234Great Rewards 235Building Relationships 237Coping with a Bad Day 237You’ve Been in Their Shoes 238How to Give Back 239Summary 241Index 243
MySQL 8 Query Performance Tuning
Identify, analyze, and improve poorly performing queries that damage user experience and lead to lost revenue for your business. This book will help you make query tuning an integral part of your daily routine through a multi-step process that includes monitoring of execution times, identifying candidate queries for optimization, analyzing their current performance, and improving them to deliver results faster and with less overhead. Author Jesper Krogh systematically discusses each of these steps along with the data sources and the tools used to perform them.MYSQL 8 QUERY PERFORMANCE TUNING aims to help you improve query performance using a wide range of strategies. You will know how to analyze queries using both the traditional EXPLAIN command as well as the new EXPLAIN ANALYZE tool. You also will see how to use the Visual Explain feature to provide a visually-oriented view of an execution plan. Coverage of indexes includes indexing strategies and index statistics, and you will learn how histograms can be used to provide input on skewed data distributions that the optimizer can use to improve query performance. You will learn about locks, and how to investigate locking issues. And you will come away with an understanding of how the MySQL optimizer works, including the new hash join algorithm, and how to change the optimizer’s behavior when needed to deliver faster execution times. You will gain the tools and skills needed to delight application users and to squeeze the most value from corporate computing resources.WHAT YOU WILL LEARN* Monitor query performance to identify poor performers* Choose queries to optimize that will provide the greatest gain* Analyze queries using tools such as EXPLAIN ANALYZE and Visual Explain* Improve slow queries through a wide range of strategies* Properly deploy indexes and histograms to aid in creating fast execution plans* Understand and analyze locks to resolve contention and increase throughputWHO THIS BOOK IS FORDatabase administrators and SQL developers who are familiar with MySQL and need to participate in query tuning. While some experience with MySQL is required, no prior knowledge of query performance tuning is needed.JESPER WISBORG KROGH has worked with MySQL databases since 2006 both as an SQL developer, a database administrator, and for more than eight years as part of the Oracle MySQL Support team. He has spoken at MySQL Connect and Oracle OpenWorld on several occasions, and addition to his books, he regularly blogs on MySQL topics and has authored around 800 documents in the Oracle Knowledge Base. He has contributed to the sys schema and four Oracle Certified Professional (OCP) exams for MySQL 5.6 to 8.0.He earned a PhD in computational chemistry before changing to work with MySQL and other software development in 2006. Jesper lives in Sydney, Australia, and enjoys spending time outdoors walking, traveling, and reading. His areas of expertise include MySQL Cluster, MySQL Enterprise Backup, performance tuning, and the Performance and sys schemas.PART I. GETTING STARTED1. MySQL Performance Tuning2. Query Tuning Methodology3. Benchmarking with Sysbench4. Test DataPART II. SOURCES OF INFORMATION5. The Performance Schema6. The sys Schema7. The Information Schema8. SHOW Statements9. The Slow Query LogPART III. TOOLS10. MySQL Enterprise Monitor11. MySQL Workbench12. MySQL ShellPART IV. SCHEMA CONSIDERATIONS AND THE QUERY OPTIMIZER13. Data Types14. Indexes15. Index Statistics16. Histograms17. The Query Optimizer18. Locking Theory and MonitoringPART V. QUERY ANALYSIS19. Finding Candidate Queries for Optimization20. Analyzing Queries21. Transactions22. Diagnosing Lock ContentionPART VI. IMPROVING THE QUERIES23. Configuration24. Change the Query Plan25. DDL and Bulk Data Load26. Replication27. Caching