Computer und IT
Dynamics 365 Essentials
Discover what the Common Data Service is and how Dynamics 365 fits in the Power Platform. Learn how to set up core Dynamics 365 Customer Engagement functionality and build more customized processes using model-driven apps. This book covers the Dynamics 365 Online system for sales, customer service, marketing, field service, and Outlook integration.In this second edition, core platform changes from the Common Data Service are included and you will know what this means for Dynamics 365. Updated features include processes, the latest form and view designer, and Business Process Flows. The book also includes new chapters on portals and power virtual agents.After reading DYNAMICS 365 ESSENTIALS, you will have mastered the core functionality available in Dynamics 365 CE and model-driven applications, and will be able to set it up for a range of different business scenarios.WHAT YOU WILL LEARN* Set up the core standard features of Dynamics 365 CE* Create model-driven apps within Dynamics 365 customized to specific business needs* Customize Dynamics 365 CE and leverage process automation functionality through the UI* Study the Common Data Service for AppsWHO THIS BOOK IS FORConsultants, business analysts, administrators, and project managers who are looking for more information about Dynamics 365SARAH CRITCHLEY is a Microsoft Dynamics Business Applications MVP, published author, and an experienced technical consultant who has worked on numerous business system implementations, now working as Lead Architect for Customer Service at Hitachi Solutions NA. She manages the strategy around all customer service technology, including Dynamics 365 Customer Service, Omni Channel Engagement, Forms Pro, Power Virtual Agent, and more. Having led software projects in numerous industries, including healthcare and the public sector, she works across all areas of the project life cycle: demonstrations, design, architecture, documentation, customization, and development. Sarah is heavily involved in community projects where she led and grew the Dynamics 365 & Power Platform UG in the UK for over three years, running technical events, and presenting on a variety of topics at conferences around the world.INTRODUCTION – PAGES - 5CHAPTER GOAL: Discuss what Dynamics 365 CE is, the latest news e.g. version 9.0 and the unified client (mention web refresh) , what the sections will cover. This book will be split into two – ‘Setup’ and ‘Configuration’ – the fact that you should be looking at best ways to do it and less technical debt.PART I - SETUPCHAPTER 1: CUSTOMER MANAGEMENTCHAPTER GOAL: For the reader to learn about how customers are used within Dynamics 365 CE, what they link to and how they operate in the context of Activities and Microsoft OutlookNO OF PAGES 20SUB -TOPICS1. Account and Contacts1. Outlook Integration for Dynamics 365 CE Online2. Timeline and Activity ManagementCHAPTER 2: CUSTOMER SERVICECHAPTER GOAL: For the reader to learn how to deliver a more omni channel customer service experience using the standard features of Dynamics 365 CENO OF PAGES: 40SUB - TOPICS1. Case Management (including Categories)2. Routing and Queues3. Knowledge Base Implementation and Feedback4. Microsoft Portals Configuration for Self-Service5. SLAs and Entitlements6. Social Engagement7. Setting up Cognitive Services for Knowledge Article SuggestionsCHAPTER 3: SALESCHAPTER GOAL: For the reader to learn what the standard sales lifecycle is, common customization points and how-to setup the standard Product CatalogNO OF PAGES : 25SUB - TOPICS:1. Product Catalog Setup and Management2. Leads to Invoice Sales Lifecycle with Product Catalog Integration2. Setting up Product Suggestion Model using Cognitive Services3. Creating Microsoft Word Templates for Quotes, Orders and InvoicesCHAPTER 4: SECURITY MODELCHAPTER GOAL: For readers to understand how the Dynamics 365 CE Security Model works and operatesNO OF PAGES:10SUB - TOPICS:1. 1.Security Model Overview2. Business Units, Teams and Users3. Access Teams4. Hierarchal and Positional SecurityCHAPTER 5: FIELD SERVICE AND RESOURCE SCHEDULINGCHAPTER GOAL: For readers to understand the basics of Field Service and Resourcing Capability which comes as standardNO OF PAGES: 15TBC. This is changing and will need to be updatedCHAPTER 6: MOBILE APPLICATIONCHAPTER GOAL: For readers to learn how to setup Dynamics 365 CE for MobileNO OF PAGES: 201. Setup3. Task Flows4. OfflineCHAPTER 7: REPORTINGCHAPTER GOAL: For readers to understand the capabilities of Dynamics 365 CE ReportingNO OF PAGES: 205. Views6. Dashboards7. Reports in Dynamics 365 Online8. ChartsPART II - CONFIGURATIONCHAPTER 8: PROCESSESCHAPTER GOAL: For readers to understand the capabilities for configuring Dynamics 365 CE through custom processesNO OF PAGES: 301. Business Process Flows2. Business Rules3. Workflows4. ActionsCHAPTER 9: UI CUSTOMIZATION AND RELATIONSHIPSCHAPTER GOAL: For readers to learn how to customize the user interface of Dynamics 365 and the relationshipsNO OF PAGES: 151. Forms2. Relationships3. Custom Controls4. MobileCHAPTER 10: APP FRAMEWORKCHAPTER GOAL: For readers to understand what the App Framework is and how to create ‘Apps’ within Dynamics 365NO OF PAGES: 151. App Framework Overview2. App Designer3. Site Map Designer4. ConfigurationCHAPTER 11: POWER AUTOMATIONCHAPTER GOAL: For readers to understand Microsoft Flow’s basic capabilitiesNO OF PAGES: 20This is changing and will need to be updatedCHAPTER 12: MANAGED VS UNMANAGED SOLUTIONSCHAPTER GOAL: Discussion on solutions design and layeringCHAPTER 13: COMMON DATA SERVICE FOR APPSCHAPTER GOAL: For readers to understand what the Common Data Service is and how to get started with integrations through the UI.NO OF PAGES: 20CHAPTER 14: GETTING STARTED WITH CDS PORTALSCHAPTER GOAL: To connect a portal to a CDS for Apps environment that does not have any Dynamics 365 applications (Sales, Service, or Marketing) preinstalledCHAPTER 15: DYNAMICS 365 FOR MARKETING
Getting Started with Advanced C#
Understand and work with the most important features of advanced C# in different programming environments. This book teaches you the fundamental features of advanced C# and how to incorporate them in different programming techniques using Visual Studio 2019.The book is divided into two parts. Part I covers the fundamentals and essentials of advanced programming in C#. You will be introduced to delegates and events and then move on to lambda expressions. Part II teaches you how to implement these features in different programming techniques, starting with generic programming. After that, you will learn about thread programming and asynchronous programming, to benefit from a multi-threaded environment. Finally, you will learn database programming using ADO.NET to connect to a MySQL database and you will know how to exercise SQL statements and stored procedures through your C# applications.WHAT YOU WILL LEARN* Use delegates, events, and lambda expressions in advanced programming* Make your application flexible by utilizing generics* Create a fast application with multi-threading and asynchronous programming* Work in Visual Studio Community Edition, which is the most common IDE for using C#* Understand alternative implementations along with their pros and consWho This Book Is ForDevelopers and programmers who are already working in C#VASKARAN SARCAR obtained his Master of Engineering in software engineering from Jadavpur University, Kolkata (India) and an MCA from Vidyasagar University, Midnapore (India). He was a National Gate Scholar (2007-2009) and has more than 12 years of experience in education and the IT industry. Vaskaran devoted his early years (2005-2007) to teaching at various engineering colleges and later he joined HP India PPS R&D Hub Bangalore and worked there until August, 2019. At the time of his retirement from the IT industry, he was a senior software engineer and a team lead at HP. To follow his dream and passion, Vaskaran is now a full-time author. Other Apress books by Vaskaran include: Interactive Object-Oriented Programming in Java (second edition), Java Design Patterns (second edition), Design Patterns in C#, Interactive C#, Interactive Object-Oriented Programming in Java, and Java Design Patterns.INTRODUCTIONPART-ICHAPTER 1: DELEGATESSubtopics:· What is a delegate?· How to create and use delegates?· What is a multicast delegate (Chaining of Delegates) and its uses?· Adding and removing methods from a multicast delegate.· Covariance and contravariance in non-generic delegates.CHAPTER 2: EVENTSSubtopics:· Events overview* Creation of events and example of simple events* Subscribing single and multiple events* Passing data to events* Discussion on event accessorsCHAPTER 3: ANONYMOUS FUNCTION AND LAMBDA EXP.Subtopics:· A quick introduction to anonymous function and lambda expression.* Lambda’s with and without parameters* Types and scopes of a lambda expressionExpression syntaxes with exampleCHAPTER 4: LINQSubtopics:* LINQ overview* Different case studies with simple and complicated query expressions* Retrieving customized data from a query expression* Comparing a method call syntax and a query syntax. PART-IICHAPTER 5: GENERIC PROGRAMMINGSubtopics:* Generics overviewComparing a generic program with its counterpart-a non-generic program * Self-referenced generics* Use of ‘default’ in a generic programHow to put constraints in a generic program * Covariance and contravariance in the context of a generic programCHAPTER 6: DATABASE PROGRAMMINGSubtopics:· How to connect to a database· Exercise simple queries to database and retrieving results from the database.CHAPTER 7: THREAD PROGRAMMINGSubtopics:Threads overview * Different case studies with multithreaded programs* Use of ParameterizedThreadStart delegate in a multithreaded environment * Passing multiple parameters to a thread* Discussion on Synchronization and deadlock with examplesCHAPTER 8: ASYNCHRONOUS PROGRAMMINGSubtopics:Brief overview * Different techniques to implement an asynchronous program(e.g. using async/await, thread, thread pool etc)CHAPTER 9: DYNAMIC PROGRAMMINGSubtopics:* DLR overview* Dynamic type and its uses* Dynamic type checking* Runtime look up etc.
Efficient Processing of Deep Neural Networks
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas. * Preface * Acknowledgments * Introduction * Overview of Deep Neural Networks * Key Metrics and Design Objectives * Kernel Computation * Designing DNN Accelerators * Operation Mapping on Specialized Hardware * Reducing Precision * Exploiting Sparsity * Designing Efficient DNN Models * Advanced Technologies * Conclusion * Bibliography * Authors' Biographies
Introducing Disaster Recovery with Microsoft Azure
Explore and learn the key building blocks of Microsoft Azure services and tools for implementing a disaster-recovery solution of any on-premises or cloud-based application. In this book, you will go through various aspects of planning, designing, and configuring a robust recovery solution on Azure.Introducing Disaster Recovery with Microsoft Azure starts by explaining the disaster-recovery landscape and how Azure disaster recovery is different from the traditional approach. You will learn how to leverage Azure site recovery and various Azure-based services to design and implement a recovery solution and much more. Moving forward, you will design and implement various scenarios such as on-premises to Azure, Azure to Azure, and on-premises to on-premises disaster recovery. You will also learn common considerations and technicalities of implementing recovery solutions for various multi-tier, monolithic, and modern micro-services enterprise applications. Finally, you will go through real-life examples, scenarios, and exercises.After reading this book, you will be able to design and implement disaster recovery on Azure in different scenarios. You will also look at a few real-world scenarios that will provide more practical insights.WHAT YOU WILL LEARN* Discover the fundamental building blocks of disaster recovery on Azure* Examine various application-specific considerations for disaster recovery* Leverage various PaaS capabilities to achieve maximum benefit* Design and implement a multi-regional Azure to Azure disaster recovery planWHO THIS BOOK IS FORConsultants, architects, and Azure administrators.BAPI CHAKRABORTY has over 14 years of IT experience in the field of on-premises and cloud infrastructure architecture, solution design, migration, deployment, and support practices. He has worked with customers and partners from various industries and understands their unique demands and requirements to achieve business goals. Bapi holds various industry and product certification including Microsoft, AWS, and IASA.YASHAJEET CHOWDHURY has over 17 years of IT experience in the field of On-premises and Cloud infrastructure architecture, solution design, migration, deployment, and support practices. He has deep technical hands-on experience on various Infrastructure services including Datacenter consolidation/migration, Virtualization, Cloud Computing & other Infrastructure offerings for various small and enterprise customers.Yash holds strong knowledge in Architecting, Designing, Implementation and many professional technical certifications including Microsoft and IBM.CHAPTER 1: DISASTER RECOVERY AND CLOUDCHAPTER GOAL: How cloud has changed the DR landscapeNO OF PAGES 20SUB -TOPICS1. How cloud has changed the DR landscape2. cost, security, storage, archival, maintenance, accessibility3. How traditional DR is different from new age DR4. Why Azure as a DR site5. options, storage, capabilities, pricing, integrated monitoring, tools, platform capability, competitive advantages6. benefits for existing customers, end to end orchestrationCHAPTER 2: INTRODUCING AZURE SITE RECOVERYCHAPTER GOAL: Understand Disaster recovery with Azure site recovery and Azure MigrateNO OF PAGES: 20SUB - TOPICS1. Supported scenarios including migration, supportability matrix,2. DR dependencies on Azure3. Storage, network, etc.4. Concepts of ASR for each scenarionetworking ER, Migration , tools, recovery plans, roles and RBAC, sites, config & process server etc.CHAPTER 3: DESIGNING AND IMPLEMENTING SIMPLE AZURE TO AZURE DR - SCENARIOCHAPTER GOAL: Understand Disaster recovery scenario for Azure to Azure scenarioNO OF PAGES : 20SUB - TOPICS:1. Questions to ask, decisions to make, data to collect, assess, Planning and designing the DR2. High level configurations3. Backup as a strategy4. Design and implement a multi regional A2A DR - scenario (5)5. High level configurations6. Common challenges and how to remediate themCHAPTER 4: ON-PREMISES TO AZURE DRCHAPTER GOAL: Understand Disaster recovery scenario for On-premises to Azure DR scenarioNO OF PAGES: 40SUB - TOPICS:1. Hyper-V (with SCVMM) to Azure2. Hyper-V (without SCVMM) to Azure3. Physical systems to Azure4. Azure Stack to Azure5. Planning6. Designing7. Configuring8. Common challenges and how to remediate themCHAPTER 5: ON-PREMISES TO ON-PREM USING ASRNO OF PAGES: 10CHAPTER GOAL: understand On-premises only scenario1. On-premises to On-prem using ASR2. Planning3. Designing4. Configuring5. Common challenges and how to remediate themCHAPTER 6: APP SPECIFIC DR SCENARIOSNO OF PAGES: 20CHAPTER GOAL: understand application specific DR scenario1. ADDS2. SQL3. Oracle4. RDS etc.CHAPTER 7: AUTOMATION AND MONITORINGNO OF PAGES: 10CHAPTER GOAL: understand automation and monitoring for Disaster recovery solution Common Automation and Monitoring scenarios for DR on AzureCHAPTER 8: SUMMARY, BEST PRACTICES AND EXERCISESNO OF PAGES: 10CHAPTER GOAL: Summary, Best Practices and Exercises for executing Azure Disaster Recovery1. Summary2. Best Practices3. Exercises
Overview of Some Windows and Linux Intrusion Detection Tools
The paper evaluates some the security tools. Top security tools can be found in http://sectools.org/. Most important vulnerabilities in Windows and Linux can be found in www.sans.org/top20/. The paper covers the installation and configuration of the following security tools:LANguardNessusSnortBASEACIDRmanSnortCenter.OSSECSguilI am Dr. Hidaia Mahmoud Mohamed Alassouli. I completed my PhD degree in Electrical Engineering from Czech Technical University by February 2003, and my M. Sc. degree in Electrical Engineering from Bahrain University by June 1995. I completed also one study year of most important courses in telecommunication and computer engineering courses in Islamic university in Gaza. So, I covered most important subjects in Electrical Engineering, Computer Engineering and Telecommunications Engineering during my study. My nationality is Palestinian from gaza strip.I obtained a lot of certified courses in MCSE, SPSS, Cisco (CCNA), A+, Linux.I worked as Electrical, Telecommunicating and Computer Engineer in a lot of institutions. I worked also as a computer networking administrator. I had considerable undergraduate teaching experience in several types of courses in many universities. I handled teaching the most important subjects in Electrical and Telecommunication and Computer Engineering. I could publish a lot of papers a top-tier journals and conference proceedings, besides I published a lot of books in Publishing and Distribution houses.I wrote a lot of important Arabic articles on online news websites. I also have my own magazine website that I publish on it all my articles: http:// www.anticorruption.000space.comMy personal website: www.hidaia-alassouli.000space.comEmail: hidaia_alassouli@hotmail.com
Data Governance
Know-how für eine erfolgreiche Data Governance* umfassendes, anwendungsbezogenes Handbuch* den Fokus nicht nur auf fachliche und technische, sondern auch organisatorische Aspekte legen* mit vielen Fallbeispielen, die Inhalte und Umsetzung, Potenziale und mögliche Fallstricke verdeutlichenVor dem Hintergrund zunehmender regulatorischer Anforderungen sowie wachsender Komplexität der eingesetzten IT-Landschaften erlangt das Themengebiet "Data Governance" immer größere Bedeutung in den Unternehmen.Dieses Buch greift nach einer Einordnung und Abgrenzung des Themas die unterschiedlichen Kernaspekte der Data Governance umfassend auf. Anschließend werden spezielle Facetten und -Toolkategorien mit hoher praktischer Relevanz präsentiert, bevor die Darstellung spezifischer Unternehmenslösungen erfolgt.Prof. Dr. Peter Gluchowski leitet den Lehrstuhl für Wirtschaftsinformatik, insb. Systementwicklung und Anwendungssysteme, an der Technischen Universität in Chemnitz und konzentriert sich dort mit seinen Forschungsaktivitäten auf das Themengebiet Business Intelligence & Analytics. Er beschäftigt sich seit mehr als 25 Jahren mit Fragestellungen, die den praktischen Aufbau dispositiver bzw. analytischer Systeme zur Entscheidungsunterstützung betreffen. Seine Erfahrungen aus unterschiedlichsten Praxisprojekten sind in zahlreichen Veröffentlichungen zu diesem Themenkreis dokumentiert.
Smart Cities For Dummies
BECOME EMPOWERED TO BUILD AND MAINTAIN SMARTER CITIESAt its core, a smart city is a collection of technological responses to the growing demands, challenges, and complexities of improving the quality of life for billions of people now living in urban centers across the world.The movement to create smarter cities is still in its infancy, but ambitious and creative projects in all types of cities—big and small—around the globe are beginning to make a big difference. New ideas, powered by technology, are positively changing how we move humans and products from one place to another; create and distribute energy; manage waste; combat the climate crisis; build more energy efficient buildings; and improve basic city services through digitalization and the smart use of data.Inside this book you’ll find out:* What it really means to create smarter cities* How our urban environments are being transformed* Big ideas for improving the quality of life for communities* Guidance on how to create a smart city strategy* The essential role of data in building better cities* The major new technologies ready to make a difference in every communitySmart Cities For Dummies will give you the knowledge to understand this important topic in depth and be ready to be an agent of change in your community.DR. JONATHAN REICHENTAL is a multiple-award-winning technology and business leader whose career has spanned both the private and public sectors. He's been a senior software engineering manager, a director of technology innovation, and has served as chief information officer at both O'Reilly Media and the city of Palo Alto, California. He also creates online education for LinkedIn Learning and others. INTRODUCTION 1About This Book 2Foolish Assumptions 3Icons Used in This Book 3How This Book Is Organized 4Part 1: Making Cities Our Home 4Part 2: Building a Smarter City 4Part 3: Using Smart City Technologies 5Part 4: Planning for an Urban Future 5Part 5: The Part of Tens 5Part 6: Appendixes 6Beyond the Book 6Where to Go from Here 7PART 1: MAKING CITIES OUR HOME 9CHAPTER 1: COMPREHENDING THE PAST, PRESENT, AND FUTURE OF CITIES 11Discovering the Origin of Cities 11What is a city? 12Building the first cities 14Comprehending the Impact of the Industrial Revolutions 16The first industrial revolution 16The second industrial revolution 17The third industrial revolution 17The fourth industrial revolution 19Responding to population growth 19Urbanizing the Planet 21Changing landscapes resulting from urbanization 23Building megacities 23CHAPTER 2: DEFINING SMART CITIES 27Identifying Smart Cities 27What a smart city is 28What a smart city is not 32Working with digital infrastructures 34Building the Case for Smarter Cities 35Small cities versus large cities 36Smart nations and other smart things 37United Nations’ Sustainable Development Goals (SDGs) 39Examining Examples of Smart Cities 42Amsterdam, The Netherlands 42Konza Technopolis, Kenya 43CHAPTER 3: RESPONDING TO THE NEEDS AND CHALLENGES OF CITIES 45Mapping the Evolving Needs and Challenges of Cities 45Economic shifts 47Increasingly complex city requirements 47Interdependencies between systems 48Population changes 49Aging infrastructure 52Lifestyle choices 54Environment 55Health 56Water management 58Housing crisis 59Expecting Different Results 62Changing community behaviors and expectations 63Expanding community engagement 64Engaging in participatory design 65Transforming Urbanization 66Transportation 67Energy 70Buildings 71Telecommunications 73Sustainability 74PART 2: BUILDING A SMARTER CITY 77CHAPTER 4: STARTING FROM ZERO 79Establishing a Vision 79Identifying the role of city leadership 80Creating a vision 83Building a Smart City Team 85Identifying team members 85Creating a RACI chart 88Getting the team on the same page 89CHAPTER 5: CREATING A SMART CITY STRATEGY 91Building the Plan 92Developing a strategic plan 93Envisioning the envisioning process 95Converting your vision to action 98Codifying the Plan 100Identifying metrics 100Communicating the plan 102CHAPTER 6: ENABLING A SMART CITY STRATEGY 107Putting the Building Blocks in Place 108Developing policy 108Getting started 110Examining a few examples of smart city policies 111Establishing regulations 112Evaluating funding models 114Handling procurement issues 118Managing projects and carrying out business analyses 121Governing the Strategy 125Defining strategic governance 125Managing projects with project governance 126Regularly updating and reporting 128PART 3: USING SMART CITY TECHNOLOGIES 131CHAPTER 7: EMBRACING URBAN INNOVATION 133Defining Urban Innovation 134Relying on urban innovation networks 136Creating urban innovation labs 137Implementing Urban Innovation 139Examining the discovery process 141Running pilots and experiments 143Setting up living labs 144Engaging in hackathons 145Participating in urban challenges 149Open innovation versus closed innovation 151Sharing urban innovation 152Converting ideas into projects 153CHAPTER 8: ENABLING CHANGE THROUGH TECHNOLOGY 155Recognizing Technological Change in Modern Cities 156From analog to digital 157The fourth industrial revolution 160The fourth industrial revolution and cities 162The Internet of Things (IoT) 163Exploring a Variety of Urban Technologies 166Social media and communication tools 166Artificial intelligence (AI) 169Blockchain technology 171Autonomous vehicles (AVs) 175Drones 178Wireless communications 181Smart street lighting 184Smart grids and microgrids 189Smart water 192Digital twins 193Digital signage 196Application programming interfaces (APIs) 198CHAPTER 9: UNLEASHING THE POWER OF CITY DATA 205Becoming City-Data-Savvy 205Enabling data-driven decision-making 207Managing data 208Developing a data strategy 209Implementing data governance 211Working with City Data 214Securing data 214Opening data 215Making sense of data through analytics 218Using geographic information systems (GIS) 220Hiring a city chief data officer 223PART 4: PLANNING FOR AN URBAN FUTURE 225CHAPTER 10: BUILDING A SECURE FOUNDATION 227Securing Your Smart City 228Urban resilience 228Public safety 233Addressing Digital Security and Privacy 238Cybersecurity 239Privacy 241CHAPTER 11: IMAGINING THE CITY OF THE FUTURE 245Recognizing That the Best Is Yet to Come 246Green cities 247Inclusive cities 251Healthy cities 253Regenerative cities 256Envisioning Big Ideas 259Hyperloop 260Flying cars 262Cities without cars 264CHAPTER 12: ENGAGING IN YOUR CITY’S FUTURE 267Embracing an Urban Future 268An increase in civic engagement 270Continuous improvement in urban quality of life 274The difference between quality of life and standard of living 275Making a Better Tomorrow 278It’s your community — get involved 280Five things you can do tomorrow 281PART 5: THE PART OF TENS 283CHAPTER 13: TEN SMART CITY PITFALLS TO AVOID 285Making Your Smart City Project a Tech Program and Putting IT in Charge 286Garnering Insufficient Support and Engagement from Stakeholders 287Limiting Efforts to Your City Boundaries 288Paying Insufficient Attention to Inclusiveness Issues 289Moving Forward with Inadequate Governance 289Working with No Clear Vision for the Program 290Downplaying the Essential Roles of Security and Privacy 291Sharing Successes and Failures Too Narrowly 292Sticking Stubbornly to the Old Ways of Doing Things 293Thinking Too Short-Term 294CHAPTER 14: TEN WAYS CITIES WILL DEFINE OUR HUMAN FUTURE 295Most People Will Live, Work, and Play Their Entire Lives in Cities 296The Increasing Demands of Sustainability Will Shape Human Behavior 297City Interactions Will Increasingly Be Digital 298City Data Will Drive Community Decision-Making 299People Will Have Expanded Opportunities to Co-Create and Collaborate on Urban Solutions 300Crime May Be Reduced Significantly 301More Diversity Will Show Up in What Humans Do and How They Work 302The Way People and Goods Move Will Continue to Evolve 303The Delivery of Healthcare Will Be Transformed 305Everything Will Be Delivered 307PART 6: APPENDIXES 309APPENDIX A: SMART CITY STRATEGIES 311Africa 311Asia 312Australia 313Europe 315Middle East 317North America 319South America 321APPENDIX B: SMART CITY ORGANIZATIONS 323APPENDIX C: OPEN DATA PORTALS 333Africa 333Asia 334Australia and New Zealand 335Eastern Europe and Russia 336Western Europe 337Middle East 339North America 340South America 343APPENDIX D: SOLUTIONS BUILT ON OPEN DATA 345APPENDIX E: CITY PERFORMANCE DASHBOARDS 351Asia 351Australia and New Zealand 352Europe 353Middle East 354North America 354South America 356Index 357
Homeoffice und mobiles Arbeiten im Team effektiv umsetzen
Produktives Arbeiten im Homeoffice erfordert neben richtiger Ausstattung, guter Sprach- und Datenkommunikation und Zugriff auf Daten auch die – durch IT-Tools unterstützten – passenden Führungs- und Arbeitsmethoden. Dieser Ratgeber bietet konkrete Anleitungen, um ohne IT-Fachkenntnisse das weltweite Arbeiten im Team schnell und pragmatisch möglich zu machen.Peter Bruhn ist Diplom-Wirtschaftsinformatiker (TU Darmstadt) und zweifacher Master of Science (Computer Science, University of Illinois (USA) und Informationswissenschaft, Hochschule Darmstadt). Bereits 2000 spezialisierte er sich als Berater bei McKinsey & Company auf die Digitale Transformation. Anschließend baute er als Senior Manager im Innovationsbereich der Deutschen Telekom AG neue Geschäftsmodelle u.a. für die Digital Business Unit auf. Als Vice President Group Digital Transformation übernahm Bruhn 2016 die Verantwortung für die Digitale Agenda der TAKKT AG in Europa und den USA.Peter Bruhn ist ein Vorreiter für mobiles Arbeiten und hat als Führungskraft jahrelange Erfahrung in der Führung verteilter Teams auf Distanz. Einleitung.- Hardware.- Konnektivität.- Software.- Anwendungen für die Team-Zusammenarbeit.- IT-Sicherheit und Datenschutz.- Fazit und Empfehlung
Science and Engineering Projects Using the Arduino and Raspberry Pi
Hone your understanding of science and engineering concepts with the versatile Arduino microcontroller and powerful Raspberry Pi mini-computer. The simple, straightforward, fun projects in this book use the Arduino and Raspberry Pi to build systems that explore key scientific concepts and develop engineering skills.Areas explored include force/acceleration, heat transfer, light, and astronomy. You'll work with advanced tools, such as data logging, advanced design, manufacturing, and assembly techniques that will take you beyond practical application of the projects you'll be creating.Technology is ever evolving and changing. This book goes beyond simple how-tos to teach you the concepts behind these projects and sciences. You'll gain the skills to observe and adapt to changes in technology as you work through fun and easy projects that explore fundamental concepts of engineering and science.WHAT YOU'LL LEARN* Measure the acceleration of a car you're riding in* Simulate zero gravity* Calculate the heat transfer in and out of your house* Photography the moon and planetsWHO THIS BOOK IS FORHobbyists, students, and instructors interested in practical applications and methods to measure and learn about the physical world using inexpensive Maker technologies.PAUL BRADT has a BS in Computer Science from University of Houston Clear Lake. He currently runs a small company that provides IT support and works as a contractor developing various computer programs. He has worked extensively with microcomputers like Arduino and Pi and believes them to be excellent tools for developing an understanding of how electronic components and hardware interact in integrated systems. He also believes they are very useful as teaching aids in learning the basics of computer programming. Paul likes to promote STEM concepts through hands-on techniques.DAVID BRADT has a BS in Mechanical Engineering from New Mexico State University with many years of experience in engineering, safety, reliability, industrial equipment, petrochemical and NASA. He likes using tools like the Raspberry Pi and the Arduino to capture data to help form the basis for informed analysis of the physical world. He enjoys building all kinds of systems and is an amateur astronomer.· Chapter 1: IntroductionProvides a brief summary of the book and the goals.· Chapter 2: What is STEMThis chapter will expand on the meaning of STEM and why each area is important. How it is good to understand the differences. The authors have found there is a bit of confusion and not many examples of good definitions.o Science: Expand knowledgeo Technology: Tools and methods to useo Engineering: Solve problems and develop toolso Math: Communication tools to explain the world· Chapter 3: Arduino BasicsThis includes a short history of the Arduino and the basics of how to use it.· Chapter 4: Raspberry Pi BasicsShort history of the Raspberry Pi and how it works.· Chapter 5: Data Logging BasicsThis section will demonstrate a couple of methods using the Arduino and Raspberry Pi for capturing and logging date.· Chapter 6: Math for Science and EngineeringConcepts related to graphing and algebra will be covered in this section. Also the difference between weight, pressure, temperature and mass.· Chapter 7: Simple ProjectsThis section explains several simple projects that can provide date on some basic physical properties.o Force: use of the force sensor.o Temperature: measuring temperature with two types of sensors.o Capturing counts: methods to capture counts of events.· Chapter 8: Math for Time and Other Dependent FunctionsThis section will highlight some key math concepts such as time or condition dependency and how they can be used to analyze data and model or simulate system responses.· Chapter 9: Time/Condition Dependent ProjectsThese projects gather data that may change based on time. The projects will show ways to measure and capture the data along with time stamps data.o Friction: Friction force can change between motion and the onset of motion.o Acceleration: sometimes acceleration is confused with velocity, but they are different. This project highlights that difference and a unique sensor to measure acceleration.o Zero gravity: Unique project that shows how the zero gravity simulator plane works.o Heat transfer: While we often measure temperature, heat transfer is really an important aspect, and this project shows how to measure it.· Chapter 10: Other ProjectsThis section details additional interesting projects.o Astro photography: This section will show how to use a Raspberry Pi to capture beautiful images of the moon and several planets.o Light/radiation: One inexpensive sensor will be highlighted that can measure light intensity in different wave lengths like infrared or visible light.· Chapter 11: Conclusion· Chapter 12: ReferencesThis section provides some additional information to aid the researcher to develop and build projects.o Design and decision: Design tools and decision methods will be discussed.o Safety concepts: Several safety related topics like safety glasses, filter masks and care around hot or sharp objects will be highlighted.o Drilling and tapping: Dos and don’ts related to drilling and tapping holes.o Soldering: Techniques of holding parts together for soldering.o 3D printing: Brief summary of some tools and techniques available now.Simulation techniques: Parabolic partial differential equations and other techniques.
Signal, Audio and Image Processing
This project shows some selected signal techniques, including image and audio processing, using the Matlab digital signal processing and image processing toolboxes. The project is divided to 3 parts.Part I includes design and implementation of different types of filters for filtering signal that has different sinusoidal frequency components or noise. The comparison was made between FIR low pass flter, butterworth filter, Chebycheve Type I low pass filter and Chebycheve Type II low pass filter. Then different types of IIR Butterworth filters were designed and implemented to filter a signal that has many harmonics components, including low pass filter, high pass filter, stop band filter and band pass filter.Part II examined audio filtering in the sense of specific frequency suppression and extraction. There are many different types of filters available for the construction of filters. We will specifically use the Butterworth filter. An audio signal was read and different types of filters, including low pass filter, high pass filter, stop band filter and band pass filter, were designed and implemented in order to filter the audio signal from some frequency bands. Then the discrete cosine transform compression examined on the audio signal at different compression rates: 50%, 75% , 87.5% Part III deals with image processing; the project shows examples in smoothing, sharpening, and edge detection. Other useful operations on the image were tested, including image cropping, image resizing, image, histogram equalization and altering image brightnessI am Dr. Hidaia Mahmoud Mohamed Alassouli. I completed my PhD degree in Electrical Engineering from Czech Technical University by February 2003, and my M. Sc. degree in Electrical Engineering from Bahrain University by June 1995. I completed also one study year of most important courses in telecommunication and computer engineering courses in Islamic university in Gaza. So, I covered most important subjects in Electrical Engineering, Computer Engineering and Telecommunications Engineering during my study. My nationality is Palestinian from gaza strip.I obtained a lot of certified courses in MCSE, SPSS, Cisco (CCNA), A+, Linux.I worked as Electrical, Telecommunicating and Computer Engineer in a lot of institutions. I worked also as a computer networking administrator. I had considerable undergraduate teaching experience in several types of courses in many universities. I handled teaching the most important subjects in Electrical and Telecommunication and Computer Engineering. I could publish a lot of papers a top-tier journals and conference proceedings, besides I published a lot of books in Publishing and Distribution houses.I wrote a lot of important Arabic articles on online news websites. I also have my own magazine website that I publish on it all my articles: http:// www.anticorruption.000space.comMy personal website: www.hidaia-alassouli.000space.comEmail: hidaia_alassouli@hotmail.com
Deep Reinforcement Learning
* ALLE WICHTIGEN METHODEN UND ALGORITHMEN PRAXISNAH ERLÄUTERT MIT CODEBEISPIELEN IN PYTHON* SELBSTSTÄNDIG LERNENDE AGENTEN PROGRAMMIEREN FÜR DIE STEUERUNG VON ROBOTERN, NLP IN INTERAKTIVEN SPIELEN, CHATBOTS UND MEHR* DEEP Q-NETWORKS, WERTITERATION, POLICY GRADIENTS, TRUST REGION POLICY OPTIMIZATION (TRPO), GENETISCHE ALGORITHMEN, MODERNE EXPLORATIONSVERFAHREN U.V.M.Reinforcement Learning ist ein Teilgebiet des Machine Learnings. Hierbei werden selbstständig lernende Agenten programmiert, deren Lernvorgang ausschließlich durch ein Belohnungssystem und die Beobachtung der Umgebung gesteuert wird.In diesem umfassenden Praxis-Handbuch zeigt Ihnen Maxim Lapan, wie Sie diese zukunftsweisende Technologie in der Praxis einsetzen. Sie lernen, wie Sie passende RL-Methoden für Ihre Problemstellung auswählen und mithilfe von Deep-Learning-Methoden Agenten für verschiedene Aufgaben trainieren wie zum Beispiel für das Lösen eines Zauberwürfels, für Natural Language Processing in Microsofts TextWorld-Umgebung oder zur Realisierung moderner Chatbots.Alle Beispiele sind so gewählt, dass sie leicht verständlich sind und Sie diese auch ohne Zugang zu sehr großer Rechenleistung umsetzen können. Unter Einsatz von Python und der Bibliothek PyTorch ermöglicht Ihnen der Autor so einen einfachen und praktischen Einstieg in die Konzepte und Methoden des Reinforcement Learnings wie Deep Q-Networks, Wertiteration, Policy Gradients, Trust Region Policy Optimization (TRPO), genetische Algorithmen und viele mehr.Es werden grundlegende Kenntnisse in Machine Learning und Deep Learning sowie ein sicherer Umgang mit Python vorausgesetzt.AUS DEM INHALT:* Implementierung komplexer Deep-Learning-Modelle mit RL in tiefen neuronalen Netzen* Ermitteln der passenden RL-Methoden für verschiedene Problemstellungen, darunter DQN, Advantage Actor Critic, PPO, TRPO, DDPG, D4PG und mehr* Bauen und Trainieren eines kostengünstigen Hardware-Roboters* NLP in Microsofts TextWorld-Umgebung für interaktive Spiele* Diskrete Optimierung für das Lösen von Zauberwürfeln* Trainieren von Agenten für Vier Gewinnt mittels AlphaGo Zero* Die neuesten Deep-RL-Methoden für Chatbots* Moderne Explorationsverfahren wie verrauschte Netze und Netz-DestillationMaxim Lapan ist Deep-Learning-Enthusiast und unabhängiger Forscher. Er hat langjährige Berufserfahrung mit Big Data und Machine Learning und beschäftigt sich derzeit insbesondere mit praktischen Anwendungen des Deep Learnings wie NLP und Deep Reinforcement Learning.
Ensemble Learning for AI Developers
Use ensemble learning techniques and models to improve your machine learning results.ENSEMBLE LEARNING FOR AI DEVELOPERS starts you at the beginning with an historical overview and explains key ensemble techniques and why they are needed. You then will learn how to change training data using bagging, bootstrap aggregating, random forest models, and cross-validation methods. Authors Kumar and Jain provide best practices to guide you in combining models and using tools to boost performance of your machine learning projects. They teach you how to effectively implement ensemble concepts such as stacking and boosting and to utilize popular libraries such as Keras, Scikit Learn, TensorFlow, PyTorch, and Microsoft LightGBM. Tips are presented to apply ensemble learning in different data science problems, including time series data, imaging data, and NLP. Recent advances in ensemble learning are discussed. Sample code is provided in the form of scripts and the IPython notebook.WHAT YOU WILL LEARN* Understand the techniques and methods utilized in ensemble learning* Use bagging, stacking, and boosting to improve performance of your machine learning projects by combining models to decrease variance, improve predictions, and reduce bias* Enhance your machine learning architecture with ensemble learningWHO THIS BOOK IS FORData scientists and machine learning engineers keen on exploring ensemble learningALOK KUMAR is an AI practitioner and innovation lead at Publicis Sapient. He has extensiveexperience in leading strategic initiatives and driving cutting-edge, fast-paced innovations. He won several awards and he is passionate about democratizing AI knowledge. He manages multiple non- profit learning and creative groups in NCR.MAYANK JAIN currently works as Manager Technology at the Publicis Sapient Innovation Lab Kepler as an AI/ML expert. He has more than 10 years of industry experience working on cutting-edge projects to make computers see and think using techniques such as deep learning, machine learning, and computer vision. He has written several international publications, holds patents in his name, and has been awarded multiple times for his contributions. Chapter 1: An Introduction to Ensemble LearningChapter Goal: This chapter will give you a brief overview of ensemble learningNo of pages - 10Sub -Topics Need for ensemble techniques in machine learning Historical overview of ensemble learning A brief overview of various ensemble techniquesChapter 2: Varying Training DataChapter Goal: In this chapter we will talk in detail about ensemble techniques where trainingdata is changed.No of pages: 30Sub – Topics: Use of bagging or bootstrap aggregating for making ensemble model Code samples Popular libraries support for bagging and best practices Introduction to random forests models Hands-on code examples for using random forest models Introduction to cross validation methods in machine learning Intro to K-Fold cross validation ensembles with code samples Other examples of varying data ensemble techniquesChapter 3: Varying CombinationsChapter Goal : In this chapter we will talk about in detail about techniques where models areused in combination with one another to getting an ensemble learning boost.No of pages: 40Sub – Topics: Boosting : We will talk in detail about various boosting techniques with historical examples Introduction to adaboost , with code examples , Industry best practices and useful state of the art libraries for adaboost Introduction to gradient boosting , with hands on code examples with useful libraries and industry best practices for gradient boosting Introduction to XGboost with hands on code examples with useful libraries and industry best practices for XGboost Stacking : We will talk in detail about various stacking techniques are used in machine learning world Stacking in practice: How stacking is used by Kagglers for improving for winning entries.Chapter 4: Varying ModelsChapter Goal: In this chapter we will talk about how ensemble learning models couldlead to better performance of your machine learning projectNo of pages: 30Sub - Topics: Training multiple model ensembles with code examples Hyperparameter tuning ensembles with code examples Horizontal voting ensembles Snapshot ensembles and its variants, Introduction to the cyclic learning rate. Code examples Use of ensembles in the deep learning world.Chapter 5: Ensemble Learning Libraries and How to Use ThemChapter Goal: In this chapter we will go into details about some very popular libraries used bydata science practitioners and Kagglers for ensemble learningNo of pages: 25Sub - Topics: Ensembles in Scikit-Learn Learning how to use ensembles in TensorFlow Implementing and using ensembles in PyTorch Using Boosting using Microsoft LightGBM Boosting using XGBoost Stacking using H2O library Ensembles in RChapter 6: Tips and Best PracticesChapter Goal: In this chapter we will learn what are the best practices around ensemble learning with real world examplesNo of pages: 25Sub - Topics: How to build a state of the art Image classifier using ensembles How to use ensembles in NLP with real-world examples Use of ensembles for structured data analysis Using ensembles for time series data Useful tips and pitfalls How to leverage ensemble learning in Kaggle competitions Useful examples and case studiesChapter 7 : The Path ForwardChapter goal – In this section we will cover recent advances in ensemble learningNo of pages: 10Sub - Topics: Recent trends and research in ensembles Use of ensembles in memory-constrained environments Use of ensembles in keeping eye of efficiency Useful resources
Grafisch programmieren, messen und steuern mit Processing
Ein Blick in die einschlägigen Internetforen zeigt, dass das Programmieren immer noch in der Gruppe der beliebten Hobbys rangiert. Wo dem Hobbyprogrammierer früher eine Reihe bekannter und populärer Programmiersprachen zur Verfügung standen, ist es heute relativ übersichtlich geworden: Außer C++, Java und Visual Basic gibt es wenig bekannte und beliebte Programmiersprachen. Was fehlt, ist eine Programmiersprache, die für Laien fast so einfach zu handhaben ist wie die alten BASIC-Versionen, deren Leistung und Features dennoch an die Möglichkeiten und die Power moderner Windows-Rechner angepasst sind. Diese Programmiersprache existiert und heißt Processing.Das vorliegende Buch führt den Leser in diese visuelle Programmiersprache ein. Das Buch richtet sich an Leser, die bereits allgemeine Erfahrungen im Umgang mit Programmiersprachen besitzen und wissen, worum es sich bei Strings, Arrays oder Schleifen handelt. Der Autor zeigt anhand vieler kurzer Programmbeispiele, wie einfach es ist, mit Processing auch leistungsfähige Software zu programmieren und sich dabei auf eine nur geringe Anzahl von Befehlen, Anweisungen und Funktionen zu beschränken.Die in diesem Buch vorgestellten Programme sind zum Teil Hardware-orientiert, wobei auch die Erfassung von Daten und die Steuerung von Hardware mittels des bekannten Mikrocontrollers Arduino einer Rolle spielt. Kurz und gut: Ein Buch für alle, die eine schnell und einfach zu programmierende Software mit elektronischer Hardware kombinieren und das Ganze über maßgeschneiderte Benutzeroberflächen steuern möchten.Kurt Diedrich ist gelernter Geologe und gehört zu den langjährigen freien Mitarbeitern des ElektorVerlags. Neben dem nun schon seit über 25 Jahren erfolgreichen "Dauerbrenner" Operationsverstärker gar nicht schwer stammen auch verschiedene Bücher zum Thema Programmierung aus seiner Feder. Auf seiner Webseite www.subroutine. info veröffentlicht er in unregelmäßigen Abständen die neuesten Ergebnisse seiner Arbeit.
Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers
THIS BOOK TARGETS COMPUTER SCIENTISTS AND ENGINEERS WHO ARE FAMILIAR WITH CONCEPTS IN CLASSICAL COMPUTER SYSTEMS BUT ARE CURIOUS TO LEARN THE GENERAL ARCHITECTURE OF QUANTUM COMPUTING SYSTEMS. It gives a concise presentation of this new paradigm of computing from a computer systems' point of view without assuming any background in quantum mechanics. As such, it is divided into two parts. The first part of the book provides a gentle overview on the fundamental principles of the quantum theory and their implications for computing. The second part is devoted to state-of-the-art research in designing practical quantum programs, building a scalable software systems stack, and controlling quantum hardware components. Most chapters end with a summary and an outlook for future directions. This book celebrates the remarkable progress that scientists across disciplines have made in the past decades and reveals what roles computer scientists and engineers can play to enable practical-scale quantum computing.* Preface* Acknowledgments* List of Notations* Introduction* Think Quantumly About Computing* Quantum Application Design* Optimizing Quantum Systems--An Overview* Quantum Programming Languages* Circuit Synthesis and Compilation* Microarchitecture and Pulse Compilation* Noise Mitigation and Error Correction* Classical Simulation of Quantum Computation* Concluding Remarks* Bibliography* Authors' Biographies
The Modern Data Warehouse in Azure
Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast—fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business.Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success.This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations.WHAT YOU WILL LEARN* Choose the appropriate Azure SQL engine for implementing a given data warehouse* Develop smart, reusable ETL/ELT processes that are resilient and easily maintained* Automate mundane development tasks through tools such as PowerShell* Ensure consistency of data by creating and enforcing data contracts* Explore streaming and event-driven architectures for data ingestion* Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouseWHO THIS BOOK IS FORData warehouse or ETL/ELT developers who wish to implement a data warehouse project in the Azure cloud, and developers currently working in on-premise environments who want to move to the cloud, and for developers with Azure experience looking to tighten up their implementation and consolidate their knowledgeMATT HOW is a professional consultant and international conference speaker who is passionate about data, analytics, and automation. Having spoken at several large conferences across the world, he is committed to sharing knowledge and insight with the wider community. Specializing in the design and delivery of modern data warehouse solutions using the Microsoft Azure Platform, Matt focuses on simplicity and resilience above all when designing cloud solutions. With a growing focus on data science, he is now researching techniques to integrate artificial intelligence capabilities into the modern data warehouse at scale.1. The Rise of the Modern Data Warehouse2. The SQL Engine3. The Integration Engine4. The Ingestion Architecture5. The Role of the Data Lake6. The Role of the Data Contract7. Logging, Auditing, and Resilience8. Using Scripting & Automation9. Beyond the Modern Data Warehouse
Künstliche Intelligenz für Business Analytics
Waren Methoden der Künstlichen Intelligenz (KI) bis vor wenigen Jahren noch ausschließlich ein Thema von wissenschaftlichen Diskussionen, so finden sie heute zunehmend Eingang in Produkte des täglichen Lebens. Gleichzeitig wächst die Menge der produzierten und verfügbaren Daten aufgrund der zunehmenden Digitalisierung, der Integration digitaler Mess- und Regelsysteme und des automatischen Austausches zwischen Geräten (Internet of Things). Dabei wird zukünftig der Einsatz von Business Intelligence (BI) und ein Blick in die Vergangenheit für die meisten Unternehmen nicht mehr ausreichen.Um in Zukunft im Wettbewerb bestehen zu können, wird vielmehr Business Analytics benötigt, also vorausschauende und prädiktive Analysen und automatisierte Entscheidungen. Die Nutzung der wachsenden Datenmengen ist dabei eine bedeutende Herausforderung und einen der wichtigsten Bereiche der Datenanalyse stellen Methoden der Künstliche Intelligenz dar.Das Buch führt in komprimierter Form in die essenziellen Aspekte des Einsatzes von Methoden der Künstlichen Intelligenz für Business Analytics ein, stellt das Maschinelle Lernen und die wichtigsten Algorithmen in verständlicher Form anhand des Business Analytics Technologieframeworks vor und zeigt Anwendungsszenarien aus verschiedenen Branchen. Dazu liefert es mit dem Business Analytics Model for Artificial Intelligence ein Referenzvorgehensmodell zur Strukturierung von BA- und KI-Projekten im Unternehmen.FELIX WEBER ist Wissenschaftler an der Universität Duisburg-Essen mit den Forschungsschwerpunkten Digitalisierung, Künstliche Intelligenz, Preis-, Promotion- und Sortiments-Management und Transformationsmanagement. Am Lehrstuhl für Wirtschaftsinformatik und integrierte Informationssysteme ist er Gründer des Retail Artificial Intelligence Lab (retAIL) und gleichzeitig Senior Berater für SAP Systeme im Groß- und Einzelhandel. Er verbindet somit die aktuelle Praxis mit der wissenschaftlichen Forschung in diesem Teilbereich.Business Analytics - Künstliche Intelligenz - KI- und BA-Plattformen - Technologieframework und Vorgehensmodell als Referenz - Fallstudien zum Einsatz von KI-basierter Business Analytics
Bitcoin entdecken
Bitcoin ist die vielleicht größte Erfindung unserer Zeit. Trotzdem haben die meisten Menschen keine Ahnung was es ist, oder wie es funktioniert. Diese kurze Lektüre hilft, Bitcoin und seine Komponenten Schritt für Schritt zu entdecken und zu verstehen. Sie ist mit Sicherheit eine unerlässliche Grundlage, bevor man sich mit einer Investition auseinandersetzt. Es ist kein technisches Fachwissen erforderlich! Lies es und teile es dann mit deinen Liebsten."Nachdem ich praktisch jedes Bitcoin-Erklär-Buch gelesen habe, glaube ich, dass dies die beste Einführung in Bitcoin ist, die man initial lesen kann und keinerlei Vorkenntnisse erfordert. Ich werde von nun an Neulinge darauf hinweisen." Nic Carter, Castle Island Ventures"Es war viel rascher und leichter zu verstehen, als ich erwartet hatte [...] Nachdem ich es gelesen hatte, verkaufte ich einige meiner Altcoins für mehr Bitcoins. Ich stehe kurz davor, wegen Yan ein Maximalist zu werden." Nako Mbelle, Around The Coin Podcast"Die Erfindung von Bitcoin ist in letzter Zeit aus gutem Grund in aller Munde. Yan hat die vielleicht einfachste und informativste Einführung zu Bitcoin geschrieben" @cryptograffiti, Krypto-KünstlerYan Pritzker war in den letzten 20 Jahren als Entwickler und Startup-Unternehmer tätig. Zuletzt war er Mitbegründer und CTO von Reverb.com, wo er von 2012-2018 die Technologie und Infrastruktur leitete. Heute konzentriert er sich auf die Bitcoin-Bildungsarbeit und die Beratung von Startups in der frühen Phase. Seit 2020 ist er CTO der Bitcoin-Investment-App "Swan Bitcoin".
Game Programming with Unity and C#
Designed for beginners with no knowledge or experience in game development or programming, this book teaches the essentials of the Unity game engine, the C# programming language, and the art of object-oriented programming. New concepts are not only explained, but thoroughly demonstrated.Starting with an introduction to Unity, you'll learn about scenes, GameObjects, prefabs, components, and how to use the various windows to interact with the engine. You'll then dive into the fundamentals of programming by reviewing syntax rules, formatting, methods, variables, objects and types, classes, and inheritance, all while getting your hands dirty writing and testing code yourself. Later, the book explains how to expose script data in the Inspector and the basics of Unity’s serialization system.This carefully crafted work guides you through the planning and development of bare bones, simple game projects designed to exercise programming concepts while keeping less relevant interruptions out of the way, allowing you to focus on the implementation of game mechanics first and foremost. Through these example projects, the book teaches input handling, rigidbodies, colliders, cameras, prefab instantiation, scene loading, user interface design and coding, and more.By the end, you'll have built a solid foundation in programming that will pave your way forward in understanding core C# syntax and fundamentals of object-oriented programming—not just what to type but why it's typed and what it’s really doing. Game Programming with Unity and C# will send you on your way to becoming comfortable with the Unity game engine and its documentation and how to independently seek further information on yet-untouched concepts and challenges.WHAT YOU'LL LEARN* Understand the fundamentals of object-oriented computer programming, including topics specifically relevant for games.* Leverage beginner-to-intermediate-level skills of the C# programming language and its syntax.* Review all major component types of the Unity game engine: colliders and rigidbodies, lights, cameras, scripts, etc.* Use essential knowledge of the Unity game engine and its features to balance gameplay mechanics for making interesting experiences. WHO THIS BOOK IS FORBeginners who have no prior experience in programming or game development who would like to learn with a solid foundation that prepares them to further develop their skills.Casey Hardman is a hobbyist game developer, who found inspiration in the capacity for immersion and interactivity provided by games. His area of focus is the Unity game engine. He has nurtured a passion for video games since he was a child. In his early teens, this interest led him on a journey into the world of game design and programming. He is self-taught through a variety of personal projects, some small and some lofty. He has been regular contributor on various online game development platforms and spends far too much time in front of a keyboard.GAME PROGRAMMING WITH UNITY AND C#1: Installation and Setup2: Unity Basics3: Manipulating the Scene4: Parents and their Children5: Prefabs6: Programming Primer7: Code Blocks and Methods8: Conditions9: Working with Objects10: Working with Scripts11: Inheritance12: DebuggingGAME PROJECT 1: OBSTACLE COURSE13: Obstacle Course Design and Outline14: Player Movement15: Death and Respawning16: Basic Hazards17: Walls and Goals18: Patrolling Hazards19: Wandering Hazards20: Dashing21: Designing Levels22: Menus and UI23: In-Game Pause Menu24: Spike Traps25: Obstacle Course ConclusionGAME PROJECT 2: TOWER DEFENSE26: Tower Defense Design and Outline27: Camera Movement28: Enemies, Towers and Projectiles29: Build Mode30: Play Mode31: More Tower Types32: Tower Defense ConclusionGAME PROJECT 3: PHYSICS PLAYGROUND33: Physics Playground Design and Outline34: Mouse-aimed Camera35: Advanced 3D Movement36: Wall Jumping37: Pulling and Pushing38: Moving Platforms39: Joints and Swings40: Force Fields and Jump Pads41: Physics Playground Conclusion and More
Moving from Unity to Godot
Are you a Unity developer looking to switch to the Godot engine quickly? If so, this no-nonsense book is your guide to mastering the most popular open-source game engine.Godot is a completely free game engine for creating high-quality 2D and 3D games that can be launched on multiple platforms. You'll see how to transition seamlessly from Unity to Godot, getting up and running quickly and effectively, using practical case studies. In addition to building functional worlds from meshes and physical interactions, you'll work with reusable assets, such as textures.The book then moves on to lighting and rendering 2D and 3D scenes with baked and real-time lighting. You'll also work with navigation and path-finding for NPCs, and see how to create save-game states with JSON. With Moving from Unity to Godot you’ll be ready to create amazing 2D and 3D games that will supercharge your business.WHAT YOU WILL LEARN* Explore the similarities and differences between Unity and Godot* Maximize the benefits from Unity and Godot* Create believable game world and characters with Godot* Master the unique aspects of C# coding in GodotWHO THIS BOOK IS FORDevelopers familiar with Unity who want to master another game engine, such as Godot.Alan Thorn is an expert on leading technical teams for games development. He previously worked at Microsoft, Teesside University, Apress Publishing, and Disney. Alan specializes in helping “tech heads” thrive and flourish in their chosen fields. With 18-year game industry experience, Alan has written 28 books, presented 30 online courses, and created 33 games including the award-winning adventure, Baron Wittard: Nemesis of Ragnarok. Alan is dedicated to helping creative people make high-impact experiences. He was Studio Director at Wax Lyrical Games, a Senior Author at Linkedin Learning, and now he currently leads the prestigious MA program for Games Design and Development at the BAFTA-winning National Film and Television School, an incubation space for breakthrough gaming talent. Alan is a pioneer of the new “Open Stream” model of Transformative Learning, and he advises in higher education on disruptive curriculum content and instructional design. Alan speaks passionately worldwide about the future of interactive experiences. In this book, Alan Thorn clearly details Godot specific terminology, how to use its interface effectively, how scenes are structured, coding in C#, and optimal ways of working.CHAPTER 1: INTRODUCING GODOT - WHY MIGRATE?Chapter Goal: The Godot Engine is a free and powerful game engine. Learn why you should move from Unity to Godot. Explore the engine benefits and features in summarySub -Topics1. Godot engine introduction2. How to download and install3. Reasons to migrate4. Limitations and the futureCHAPTER 2: GODOT FUNDAMENTALSChapter Goal: The Godot engine has many similarities with Unity but also important differences. This chapter explores the core features of Godot for a first-time user looking to make a quick start.Sub - Topics1. Interface and controls2. Scenes and nodes3. Components and scripts4. Assets and resourcesCHAPTER 3: SCRIPTING WITH C# IN GODOT - COMMON TASKSChapter Goal: Godot supports several scripting languages for building gameplay. C# is a powerful choice. This chapter explores how to use C# to implement critical gameplay tasks easily.Sub - Topics:1. Getting started with C# scripting2. Events and responses3. Signals and Connections4. Processing nodes and scenesCHAPTER 4: MAKING A 2D GAMEChapter Goal: Learn how to make amazing looking scenes in 2D and 3D with Godot. This chapter explores materials, lights and post-processing to help you create believable, atmospheric worlds.Sub - Topics:1. Direct vs indirect illumination2. Directional, point and spotlights3. Baked lighting and global illumination4. Environments and effectsCHAPTER 5: NAVIGATION AND PATH-FINDINGChapter Goal: Create intelligent NPCs that can navigate around your scenes using the Godot Path-Finding Tools. Learn how to build navigation meshes and create steering behaviors for your NPCs.Sub - Topics:1. Build navigation meshes2. Refine and improve navigation tools3. Create intelligent NPCs4. Moving objectsCHAPTER 6: CODING A FIRST-PERSON CONTROLLER IN C#Chapter Goal: Build first-person functionality to create a first-person controller for 3D games. Allow your player to move and look around, and to collide with physical objects.Sub - Topics:1. Create movement behavior2. Add mouse look functionality3. Add physics and collision behavior4. Coding jumps and gravityCHAPTER 7: MINI-PROJECTS - CASE STUDIES IN GODOTChapter Goal: See practical, project samples in Godot for learning more advanced features. See how to save data, create coroutines, use visual scripting, and create animations.Sub - Topics:1. Coroutines2. Visual scripting3. Animating objects4. Saving game data
Privileged Attack Vectors
See how privileges, insecure passwords, administrative rights, and remote access can be combined as an attack vector to breach any organization. Cyber attacks continue to increase in volume and sophistication. It is not a matter of if, but when, your organization will be breached. Threat actors target the path of least resistance: users and their privileges.In decades past, an entire enterprise might be sufficiently managed through just a handful of credentials. Today’s environmental complexity has seen an explosion of privileged credentials for many different account types such as domain and local administrators, operating systems (Windows, Unix, Linux, macOS, etc.), directory services, databases, applications, cloud instances, networking hardware, Internet of Things (IoT), social media, and so many more. When unmanaged, these privileged credentials pose a significant threat from external hackers and insider threats. We are experiencing an expanding universe of privileged accounts almost everywhere.There is no one solution or strategy to provide the protection you need against all vectors and stages of an attack. And while some new and innovative products will help protect against or detect against a privilege attack, they are not guaranteed to stop 100% of malicious activity. The volume and frequency of privilege-based attacks continues to increase and test the limits of existing security controls and solution implementations.PRIVILEGED ATTACK VECTORS details the risks associated with poor privilege management, the techniques that threat actors leverage, and the defensive measures that organizations should adopt to protect against an incident, protect against lateral movement, and improve the ability to detect malicious activity due to the inappropriate usage of privileged credentials.This revised and expanded second edition covers new attack vectors, has updated definitions for privileged access management (PAM), new strategies for defense, tested empirical steps for a successful implementation, and includes new disciplines for least privilege endpoint management and privileged remote access.WHAT YOU WILL LEARN* Know how identities, accounts, credentials, passwords, and exploits can be leveraged to escalate privileges during an attack * Implement defensive and monitoring strategies to mitigate privilege threats and risk * Understand a 10-step universal privilege management implementation plan to guide you through a successful privilege access management journey* Develop a comprehensive model for documenting risk, compliance, and reporting based on privilege session activityWHO THIS BOOK IS FORSecurity management professionals, new security professionals, and auditors looking to understand and solve privilege access management problemsMOREY J. HABER is Chief Technology Officer at BeyondTrust. He has more than 20 years of IT industry experience, and has authored three Apress books: Asset Attack Vectors and Identity Attack Vectors, as well as the first edition of Privileged Attack Vectors. He joined BeyondTrust in 2012 as a part of the eEye Digital Security acquisition. He currently oversees BeyondTrust technology management solutions for vulnerability, and privileged and remote access. In 2004, he joined eEye as Director of Security Engineering and was responsible for strategic business discussions and vulnerability management architectures in Fortune 500 clients. Prior to eEye, he was Development Manager for Computer Associates, Inc. (CA), responsible for new product beta cycles and named customer accounts. He began his career as Reliability and Maintainability Engineer for a government contractor building flight and training simulators. He earned a Bachelor of Science degree in Electrical Engineering from the State University of New York at Stony Brook.
Learn Data Mining Through Excel
Use popular data mining techniques in Microsoft Excel to better understand machine learning methods.Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help.Excel allows you to work with data in a transparent manner. When you open an Excel file, data is visible immediately and you can work with it directly. Intermediate results can be examined while you are conducting your mining task, offering a deeper understanding of how data is manipulated and results are obtained. These are critical aspects of the model construction process that are hidden in software tools and programming language packages.This book teaches you data mining through Excel. You will learn how Excel has an advantage in data mining when the data sets are not too large. It can give you a visual representation of data mining, building confidence in your results. You will go through every step manually, which offers not only an active learning experience, but teaches you how the mining process works and how to find the internal hidden patterns inside the data.WHAT YOU WILL LEARN* Comprehend data mining using a visual step-by-step approach* Build on a theoretical introduction of a data mining method, followed by an Excel implementation* Unveil the mystery behind machine learning algorithms, making a complex topic accessible to everyone* Become skilled in creative uses of Excel formulas and functions* Obtain hands-on experience with data mining and ExcelWHO THIS BOOK IS FORAnyone who is interested in learning data mining or machine learning, especially data science visual learners and people skilled in Excel, who would like to explore data science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended.HONG ZHOU, PHD is a professor of computer science and mathematics and has been teaching courses in computer science, data science, mathematics, and informatics at the University of Saint Joseph for more than 15 years. His research interests include bioinformatics, data mining, software agents, and blockchain. Prior to his current position, he was as a Java developer in Silicon Valley. Dr. Zhou believes that learners can develop a better foundation of data mining models when they visually experience them step-by-step, which is what Excel offers. He has employed Excel in teaching data mining and finds it an effective approach for both data mining learners and educators.Chapter 1: Excel and Data MiningChapter 2: Linear RegressionChapter 3: K-Means ClusteringChapter 4: Linear discriminant analysisChapter 5: Cross validation and ROCChapter 6: Logistic regressionChapter 7: K-nearest neighborsChapter 8: Naïve Bayes classificationChapter 9: Decision TreesChapter 10: Association analysisChapter 11: Artificial Neural networkChapter 12: Text MiningChapter 13: After Excel
Essential Visual Studio 2019
Discover how Visual Studio 2019 can improve your development process.Visual Studio is an integral part of the daily life of millions of developers worldwide. Even as this rich integrated development environment approaches two decades, it has never ceased in innovating ways to make developers’ work life more productive.ESSENTIAL VISUAL STUDIO 2019 offers explicit guidance for the developer who is already familiar with Visual Studio, but might feel a little lost when it comes to understanding the more recent features and advances of the IDE. Busy developers simply don’t have the time to digest and distill what the latest and greatest tools are with each version. As a result, useful process and performance features may be overlooked. This book, by simply focusing on the most recent innovations in Visual Studio and its tangential developer market, is the perfect "go to" for bridging that gap.Be ready to plunge headfirst into key features and advances that have been added, expanded, or improved, and topics such as unit testing, refactoring, Git, debugging, containers, and more. You will procure the basic concepts and value first, before diving into hands-on code that is designed to quickly get you up and running.The goal of this book is to bring the developer up to speed on Visual Studio 2019. It does not focus just on functionality added in Visual Studio 2019, but takes a deep dive into the areas where Visual Studio 2019 changed. That way, even if you’re coming from much earlier versions of Visual Studio, you can easily discern how upgrading to Visual Studio 2019 can make you more productive.WHAT YOU WILL LEARN* Know how the new features and improvements in Visual Studio 2019 can make you more productive* Understand the value of modifications and when they can be used to take full advantage of this powerful IDE* Review changes to Visual Studio over the last two versions and see where the development process is heading* Discover the cloud-based, containerized, dev-ops-aware, and platform-flexible aspects of Visual Studio* Gain clarity on the areas that have the greatest impact to you personallyWHO THIS BOOK IS FORDevelopers who use Visual Studio on a daily basis. Familiarity with earlier versions is helpful, as the book is not a soup-to-nuts survey of the IDE and some basic functions will not be covered.BRUCE JOHNSON is co-founder and partner at ObjectSharp Consulting. He has more than three decades of experience, starting in UNIX, but then moved into the Windows development world. Over the course of his career, he gained expertise in rich client applications, web applications, and APIs, with a dash of database, microservices, and front-end development thrown in. After 20 years, it is almost impossible not to become a full-stack developer.Formerly a Microsoft MVP and MCT, Bruce enjoys teaching and presenting within the developer community. He has spoken hundreds of times at conferences and user groups throughout North America and Europe. He is the author of many books, articles, and columns. He can be reached on Twitter at @LACanuck and LinkedIn at bruce-johnson-95b468.Chapter 1: Installation and IDE DifferencesChapter 2: Assisted CodingChapter 3: Unit TestingChapter 4: Refactoring CodeChapter 5: Using Git in Visual Studio 2019Chapter 6: CollaborationChapter 7: Debugging and ProfilingChapter 8: Language-Specific ImprovementsChapter 9: Azure ToolingChapter 10: Containers and Orchestration
Pro Angular 9
THIS BOOK HAS ACCOMPANYING ONLINE FILES FOR ANGULAR 9, 10 AND 11; ALL EXAMPLES IN THE BOOK WORK WITHOUT CHANGES IN ANGULAR 10 OR 11.Welcome to this one-stop-shop for learning Angular. Pro Angular is the most concise and comprehensive guide available, giving you the knowledge you need to take full advantage of this popular framework for building your own dynamic JavaScript applications.The fourth edition of this full-color guide explains how to get the most from Angular, starting with an in-depth overview of the MVC pattern and presenting the range of benefits it can offer. From there, you will begin learning how to use Angular in your projects, starting with the nuts-and-bolts concepts, and progressing on to more advanced and sophisticated features. Each topic provides you with precisely enough learning and detail to be effective. In true Adam Freeman style, the most important features are given full court press treatment, while also addressing common problems and how to avoid them.WHAT YOU WILL LEARN:* Get access to accompanying online files for Angular 9, 10 and 11; book examples work without changes in Angular 10 or 11* Gain a solid architectural understanding of the MVC Pattern* Create rich and dynamic web app clients using Angular * Use the ng tools to create and build an Angular project* Extend and customize Angular* Acquire skills to unit test your Angular projectsWHO THIS BOOK IS FOR:This book is for web developers who want to create rich client-side applications. Foundational knowledge of HTML and JavaScript is recommended."Adam's books provide a finely tuned blend of architectural overview, technical depth, and experience-born wisdom. His clear, concise writing style, coupled with project driven real world examples, make me comfortable recommending his books to a broad audience, ranging from developers working with a technology for the first time to seasoned professionals who need to learn a new skill quickly."KEITH DUBLIN, SOLUTION PRINCIPAL, SLALOM CONSULTING“Adam’s books are the print version of a chat bot. His investment in learning how developers learn pays off in dividends, making this one of the most comprehensive resources available. Novices and experienced professionals alike will gain knowledge from the accessible and insightful material.”MARK DONILE, SOFTWARE ENGINEER, MS CSADAM FREEMAN is an experienced IT professional who has held senior positions in a range of companies, most recently serving as chief technology officer and chief operating officer of a global bank. Now retired, he spends his time writing and long-distance running.TOCPart I – Part 1 - Getting Started with Angular1. Getting Ready2. Your First Angular App3. Putting Angular in Context4. HTML and Bootstrap CSS Primer5. JavaScript and TypeScript Primer, Part 16. JavaScript and TypeScript Primer, Part 27. SportsStore: A Real Application8. SportsStore: Orders and Checkout9. SportsStore: Administration10. SportsStore: DeploymentPart II - Angular in Detail11. Creating an Angular Project12. Using Data Bindings13. Using the Built-In Directives14. Using Events and Forms15. Creating Attribute Directives16. Creating Structural Directives17. Understanding Components18. Using and Creating Pipes19. Using Services20. Using Service Providers21. Using and Creating ModulesPart III - Advanced Angular Features22. Creating the Example Project23. Using Reactive Extensions24. Making Asynchronous HTTP Requests25. Routing and Navigation, Part 126. Routing and Navigation, Part 227. Routing and Navigation, Part 328. Using Animation29. Angular Unit Testing
Pro Power BI Desktop
Deliver eye-catching and insightful business intelligence with Microsoft Power BI Desktop. This new edition has been updated to cover all the latest features of Microsoft’s continually evolving visualization product. New in this edition is help with storytelling—adapted to PCs, tablets, and smartphones—and the building of a data narrative. You will find coverage of templates and JSON style sheets, data model annotations, and the use of composite data sources. Also provided is an introduction to incorporating Python visuals and the much awaited Decomposition Tree visual.PRO POWER BI DESKTOPshows you how to use source data to produce stunning dashboards and compelling reports that you mold into a data narrative to seize your audience’s attention. Slice and dice the data with remarkable ease and then add metrics and KPIs to project the insights that create your competitive advantage. Convert raw data into clear, accurate, and interactive information with Microsoft’s free self-service BI tool.This book shows you how to choose from a wide range of built-in and third-party visualization types so that your message is always enhanced. You will be able to deliver those results on PCs, tablets, and smartphones, as well as share results via the cloud. The book helps you save time by preparing the underlying data correctly without needing an IT department to prepare it for you.WHAT YOU WILL LEARN* Deliver attention-grabbing information, turning data into insight* Find new insights as you chop and tweak your data as never before* Build a data narrative through interactive reports with drill-through and cross-page slicing* Mash up data from multiple sources into a cleansed and coherent data model* Build interdependent charts, maps, and tables to deliver visually stunning information* Create dashboards that help in monitoring key performance indicators of your business* Adapt delivery to mobile devices such as phones and tabletsWHO THIS BOOK IS FORPower users who are ready to step up to the big leagues by going beyond what Microsoft Excel by itself can offer. The book also is for line-of-business managers who are starved for actionable data needed to make decisions about their business. And the book is for BI analysts looking for an easy-to-use tool to analyze data and share results with C-suite colleagues they support.ADAM ASPIN is an independent business intelligence (BI) consultant based in the UK. He has worked with SQL Server for more than 25 years. During this time, he has developed several dozen reporting and analytical systems using Microsoft analytics.A graduate of Oxford University, Adam began his career in publishing before moving into IT. Databases soon became a passion, and his experience in this arena ranges from Access to Oracle and MySQL, with occasional sorties into the world of DB2. He is, however, most at home in the Microsoft universe using SQL Server, SQL Server Analysis Services, SQL Server Reporting Services, SQL Server Integration Services, and Power BI, both on-premises and in Azure.Business Intelligence has been Adam's principal focus for the last 25 years. He has applied his skills for a range of clients in industry sectors such as finance, utilities, telecommunications, insurance, manufacturing, and banking.Adam is a frequent contributor to SQLServerCentral.com and Simple-Talk. He has written numerous articles for various French IT publications. A fluent French speaker, Adam has worked in France and Switzerland for many years. He speaks regularly at events such as SQLBits, SQL Saturdays, and local SQL Server user groups.Adam is the author of the following Apress books: SQL Server Data Integration Recipes; High Impact Data Visualization with Power View, Power Map, and Power BI; Business Intelligence with SQL Server Reporting Services; and Data Mashup with Microsoft Excel (Apress).1. Discovering and Loading Data with Power BI Desktop2. Discovering and Loading File-Based Data with Power BI Desktop3. Discovering and Loading File-Based Data with Power BI Desktop4. DirectQuery and Connect Live5. Loading Data from the Web and the Cloud6. Loading Data from Other Data Sources7. Structuring Imported Data8. Data Transformation and Cleansing9. Restructuring Data10. Complex Data Loads11. Organizing, Managing, and Parameterizing Queries12. The M Language13. Creating a Data Model14. Table Visuals15. Matrix and Card Visuals16. Charts in Power BI Desktop17. Formatting Charts in Power BI Desktop18. Other Types of Visuals19. Third-Party Visuals20. Maps in Power BI Desktop21. Filtering Data22. Using Slicers23. Enhancing Dashboards24. Advanced Dashboarding Techniques25. Appendix A: Sample Data