Computer und IT
Data Lake Analytics on Microsoft Azure
Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You willThis book includes comprehensive coverage of how:* To architect data lake analytics solutions by choosing suitable technologies available on Microsoft Azure* The advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystem* These data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutionsData platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure.WHAT WILL YOU LEARNYou will understand the:* Concepts of data lake analytics, the modern data warehouse, and advanced data analytics* Architecture patterns of the modern data warehouse and advanced data analytics solutions* Phases—such as Data Ingestion, Store, Prep and Train, and Model and Serve—of data analytics solutions and technology choices available on Azure under each phase* In-depth coverage of real-time and batch mode data analytics solutions architecture* Various managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsightWHO THIS BOOK IS FORData platform professionals, database architects, engineers, and solution architectsHARSH CHAWLA has been working on data platform technologies for last 14 years. He has been in various roles in the Microsoft world for last 12 years, going from CSS to services to technology strategy. He currently works as an Azure specialist with data and AI technologies and helps large IT enterprises build modern data warehouses, advanced analytics, and AI solutions on Microsoft Azure. He has been a community speaker and blogger on data platform technologies.PANKAJ KHATTAR is a seasoned Software Architect with over 14 years of experience in design and development of Big Data, Machine Learning and AI based products. He currently works with Microsoft on the Azure platform as a Sr. Cloud Solution Architect for Data & AI technologies. He also possesses extensive industry experience in the field of building scalable multi-tier distributed applications and client/server based development.You can connect with him on LinkedIn at https://www.linkedin.com/in/pankaj-khattar/CHAPTER 1: INTRODUCTION AND THE NEED OF DATA LAKECHAPTER GOAL: The chapter introduces the readers to the concept & need of a data lake in this big data environment.The chapter also covers how to create a data lake & architecture patterns to be followed for data lake analytics.NO OF PAGES 15SUB -TOPICS1. Relational and non-relation data stores2. Base for data: relational and non-relational databases3. Warehouses of data: data warehouses4. Markets for data: data marts5. Introduction to data lake6. Need to create a data lakeCHAPTER 2: DATA JUST GOT BIGGERCHAPTER GOAL: Today, enterprises have mix of relational and non-relational stores. However, when it comes to analyzing all this data – there must be a neutral platform which can understand these types of data. This introduces us to modern world concepts of distributed data storage & processing. It also talks about data sciences & machine learning concepts & how they are revolutionizing the data analysis world.NO OF PAGES : 20Sub - Topics:1. Massively parallel processing, distributed data and spark the Hadoop2. Distributed systems vs massively parallel processing systems (MPP)3. Respective use cases for distributed and MPP systems4. Science for data5. Learning of machines6. Overview of data analytics and advanced data analyticsCHAPTER 3: EMERGENCE OF CLOUD LAKESCHAPTER GOAL: The chapter enlighten the users with multiple cloud-based technologies available which are scalable, agile and performance in terms of computation, storage & analytics options. It goes into details about the suggested architecture on Microsoft Azure to solve Modern data warehouse, analytics use cases.NO OF PAGES: 20SUB - TOPICS:1. Data travels to Cloud with added benefits2. Overview of phases of data analytics architecture3. Available products under each phase on Microsoft AzureCHAPTER 4: PHASES IN MANAGING DATA ANALYTICS PIPELINECHAPTER GOAL: This chapter covers in-depth context of this book. After we understand the background, this chapter will provide understanding of what are the phases of building entire data analytics pipeline. All the phases discussed in this book are critical to understand and any analytics solution will adhere to this common principle some way or the other. In each phase, there are different solutions to cater respective issues.It covers the data life cycle from upstream to downstream applications.NO OF PAGES: 20SUB - TOPICS:1. Real time and batch mode data processing2. Phases in data Management· Ingest· Store· Analytics· Visualization3. Cloud data lake architecture patternsCHAPTER 5: DATA INGESTION IN THE LAKEChapter Goal: The chapter talks about the limitations about the traditional storage & how the big data technologies has emerged as the champion in solving the limitations & changing the concepts of Extract, Transform & Load (ETL) to Extract, Load & Transform(ELT).NO OF PAGES: 20SUB - TOPICS:1. Traditional limitations, can big data help?2. ETL now becomes ELT3. Tools in cloud for data ingestion· Azure Data Factory on Microsoft Azure· SQL server integration services on-premise4. Overview of partner solutions for ETL/ELT – Informatica PowerEdgeCHAPTER 6: DATA STORAGE & FARMINGCHAPTER GOAL: The chapter shares with readers that how once the data is available in storage layers, how it can be grown & real time data storage & analysis needs can be catered, it also talks about batch & real time data processing & storage.No of pages: 20SUB - TOPICS:1. Grow the data2. Role of Azure data lake store, Blob, relational and non-relational stores3. Architecting the Lambda & Kappa4. Manage storage for real time and batch processingCHAPTER 7: ANALYZING THE BIGGER DATA IN REAL TIMECHAPTER GOAL: Analysis of data is crucial for enterprises to get the business insights from the historic, present & future data to make descriptive, streaming & predictive analytics. In this chapter, we will specifically talk about real time analytics. Components required to perform real time analytics and how to optimize the cost using Azure PaaS solutions.NO OF PAGES: 30SUB - TOPICS:1. Need of real time analytics2. Approach to build data analytics on data lake for real time processing3. Leverage event hubs/IOT hubs as a queuing solution on Azure4. Why Edge computing and digital twins are gaining limelight5. Choice between PaaS vs IaaS solution for streaming data processing6. PaaS – stream analytics or spark streaming7. Infuse R and Python on real-time data analytics pipelines8. Use cases for real time analyticsCHAPTER 8: ANALYZING THE BIGGER DATA IN BATCH MODECHAPTER GOAL: Analysis of data is crucial for enterprises to get the business insights from the historic, present & future data to make descriptive, streaming & predictive analytics. Analytics can help companies identify new business opportunities and revenue streams which results in an increase in profits, new customers, and improved customer service.No of pages: 30SUB - TOPICS:9. Role of big data and massively parallel processing systems10. Approach to build data analytics on data lake for batch processing11. Approach to build data analytics solution for real time analytics12. When to leverage HDInsight and Spark clusters13. Infuse R and Python in data analytics pipelines14. How it's different from conventional data warehousing and massively parallel processing solutions15. Use cases for batch mode processingCHAPTER 9: VISUALIZATION AND OTHER DOWNSTREAM CHOICESChapter Goal: Visualization of data is crucial for reporting& also to perform exploratory data analytics. The chapter talks about the visual elements like charts, graphs, and maps, data visualization tools which provide an accessible way to see and understand trends, outliers, and patterns in dataNO OF PAGES: 10SUB - TOPICS:1. Visualizations tools – Power BI2. Downstream applications – LOB applications, notification applications3. Choice of data stores for downstream applications – Cosmos DB, Azure SQL DatabaseCHAPTER 10: SUMMARY OF DATA LAKE COMPONENTS IN AZURECHAPTER GOAL: The chapter takes a dig at multiple azure components which makes its easy to create an enterprise data lake in cloud & talks about in details the usage of eachNo of pages: 20SUB - TOPICS:1. Azure data factory2. Azure data lake storage3. Azure HDInsight4. Azure databricks5. Azure data warehouse6. Azure PowerBICHAPTER 11: CONCLUSIONCHAPTER GOAL: The concluding chapter summarizes the information shared around the data lake in the bookNo of pages: 5
Pro Microsoft Power Platform
Become a self-sufficient citizen developer by learning the tools within the Microsoft Power Platform and how they can be used together to drive change and multiply your productivity. Learn about PowerApps for building applications, Power Automate for automating business processes across those applications, and Power BI for analyzing results and communicating business intelligence through compelling visuals. By understanding the purpose and capabilities of these tools, you will be able to enhance your organization’s visibility into key areas and make informed business decisions in a timely matter.This book is divided into four parts and begins in Part I by showing you how to build applications through PowerApps. You will learn about screens and controls, application sharing and administration, and how to make your applications accessible from mobile devices such as phones and tablets. Part II is about creating workflows using Power Automate that implement business logic across your applications. Part III brings in dashboards and data analysis, showing you how to connect to a data source, cleanse the data from that source, and drive decision making through interactive reports and storytelling. Part IV brings together all the pieces by showing the integrations that are possible when all three tools are combined into a single solution.WHAT YOU WILL LEARN* Understand the need for the citizen developer in today’s business environment* Organize and plan the building of line-of-business applications with PowerApps solutions * Replace wasteful paper processes with automated applications built in PowerApps* Automate workflows across processes with Power Automate* Communicate analytical results through visualizations and storytelling* Integrate PowerApps, Power Automate, and Power BI into solutions that multiply productivityWHO THIS BOOK IS FORPower users and analysts with strong Excel skills who need a more comprehensive set of tools that can better help them accomplish their vision on projects, those familiar with one of the Power Platform tools who wish to learn how all three can fit together, and those who are seen as as “rogue IT” problem solvers who get things done when others have tried but failedMITCHELL PEARSON is a business intelligence consultant and the training content manager for Pragmatic Works. He has authored books on SQL Server and Power BI, and spends his time at Pragmatic Works developing new courses on business intelligence and Microsoft Azure. He has experience developing enterprise-level BI solutions using the full suite of products offered by Microsoft (SSRS, SSIS, SSAS, Power BI, and Azure). He is active in the community, running the local Power BI user group, presenting at SQL Saturday events and at PASS virtual chapters, and in giving free webinars for Pragmatic Works.BRIAN KNIGHT is a Power Apps MVP, founder of Pragmatic Works, and co-founder of SQLServerCentral.com and JumpstartTV.com. He won the CEO of the year award given by the Jacksonville Business Journal, and Pragmatic Works has ranked up on the top growing companies in the country for many years in a row. He runs the local SQL Server user group in Jacksonville (JSSUG), is a contributing columnist for SQL Server Standard, maintains a regular column for the database website SQLServerCentral.com, and does regular webcasts at Jumpstart TV. He has co-authored and authored more than nine SQL Server books. He has spoken at conferences such as PASS, SQL Connections, and TechEd, and at many Code Camps.DEVIN KNIGHT is a Microsoft Data Platform MVP and Vice President of Training at Pragmatic Works. He is an author of eight SQL Server, Power Platform, and BI books. You can find him speaking at conferences such as the Microsoft Business Application Summit, PASS Summit, SQL Saturdays, and Code Camps. He is also a contributing member to several virtual user group chapters. Making his home in Jacksonville, FL, He contributes locally at the Jacksonville Power BI User Group.MANUEL QUINTANA is a training content manager at a Pragmatic Works. Previously, he was a senior manager working in the hotel industry. He joined the Pragmatic Works team in 2014 with no knowledge in the business intelligence space, but now speaks at SQL Saturdays and SQL Server user groups locally and virtually. He also teaches various BI technologies to many Fortune 500 companies on behalf of Pragmatic Works. Since 2014, he has called Jacksonville, Florida home, and before that Orlando, but he was born on the island of Puerto Rico and loves to go back and visit his family. When he is not working on creating new content for Pragmatic Works, you can probably find him playing board games or watching competitive soccer matches.IntroductionPART I. BUILDING LINE OF BUSINESS APPLICATIONS WITH POWERAPPS1. Introduction to PowerApps2. Building Your First PowerApp3. Exploring PowerApps Screens and Controls4. Working with PowerApps Expressions5. Leveraging Variables and Collections6. Securing and Sharing Apps7. Managing Power Apps8. Common Data Services and Model-Driven AppsPART II. TASK AUTOMATION WITH MICROSOFT FLOW9. Introduction to Power Automate10. Building Your First Flow11. Exploring Different Trigger Types12. Working with Flow Expressions13. Building Conditional Flows14. Designing Approval Flows15. Administering Power AutomatePART III. DASHBOARDS, REPORTING, AND ANALYTICS WITH POWER BI16. Introduction to Power BI17. Connecting to Data18. Defining Data Cleansing Business Rules with the Power Query Editor19. Data Model Design20. Extending Your Data Model with DAX Calculations21. Report Writing Basics22. Designing Interactive Reports23. Data Storytelling with Power BI24. Sharing Power BI Solutions25. Administering Power BIPART IV. INTEGRATING THE POWER PLATFORM TOOLS TOGETHER26. Power Platform Integration in PowerApps27. Power Platform Integration in Microsoft Flow28. Power Platform Integration in Power BI29. Designing a Fully Integrated Power Platform Solution
Supervised Learning with Python
Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well as text and images datasets.You’ll start with an introduction to machine learning, highlighting the differences between supervised, semi-supervised and unsupervised learning. In the following chapters you’ll study regression and classification problems, mathematics behind them, algorithms like Linear Regression, Logistic Regression, Decision Tree, KNN, Naïve Bayes, and advanced algorithms like Random Forest, SVM, Gradient Boosting and Neural Networks. Python implementation is provided for all the algorithms. You’ll conclude with an end-to-end model development process including deployment and maintenance of the model.After reading Supervised Learning with Python you’ll have a broad understanding of supervised learning and its practical implementation, and be able to run the code and extend it in an innovative manner.WHAT YOU'LL LEARN* Review the fundamental building blocks and concepts of supervised learning using Python* Develop supervised learning solutions for structured data as well as text and images * Solve issues around overfitting, feature engineering, data cleansing, and cross-validation for building best fit models* Understand the end-to-end model cycle from business problem definition to model deployment and model maintenance * Avoid the common pitfalls and adhere to best practices while creating a supervised learning model using PythonWHO THIS BOOK IS FORData scientists or data analysts interested in best practices and standards for supervised learning, and using classification algorithms and regression techniques to develop predictive models.VAIBHAV VERDHAN has 12+ years of experience in Data Science, Machine Learning and Artificial Intelligence. An MBA with engineering background, he is a hands-on technical expert with acumen to assimilate and analyse data. He has led multiple engagements in ML and AI across geographies and across retail, telecom, manufacturing, energy and utilities domains. Currently he resides in Ireland with his family and is working as a Principal Data Scientist. Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1. Machine learning and how is it different from software engineering?2. Discuss reasons for machine learning being popular3. Compare between supervised, semi-supervised and unsupervised algorithms4. Statistical methods to get significant variables5. The use cases of machine learning and respective use cases for each of supervised, semi-supervised and unsupervised algorithmsChapter 2: Supervised Learning for Regression AnalysisChapter Goal: Embrace the core concepts of supervised learning to predict continuous variablesNo of pages: 40-50Sub - Topics1. Supervised learning algorithms for predicting continuous variables2. Explain mathematics behind the algorithms3. Develop Python solution using linear regression, decision tree, random forest, SVM and neural network4. Measure the performance of the algorithms using r square, RMSE etc.5. Compare and contrast the performance of all the algorithms6. Discuss the best practices and the common issues faced like data cleaning, null values etc.Chapter 3: Supervised Learning for Classification ProblemsChapter Goal: Discuss the concepts of supervised learning for solving classification problemsNo of pages : 30-40Sub - Topics:1. Discuss classification problems for supervised learning2. Examine logistic regression, decision tree, random forest, knn and naïve Bayes. Understand the statistics and mathematics behind each3. Discuss ROC curve, akike value, confusion matrix, precision/recall etc4. Compare the performance of all the algorithms5. Discuss the tips and tricks, best practices and common pitfalls like a bias-variance tradeoff, data imbalance etc.Chapter 4: Supervised Learning for Classification Problems-AdvancedChapter Goal: cover advanced classification algorithms for supervised learning algorithmsNo of pages:30-40Sub - Topics:1. Refresh classification problems for supervised learning2. Examine gradient boosting and extreme gradient boosting, support vector machine and neural network3. Compare the performance of all the algorithms4. Discuss the best practices and common pitfalls, tips and tricksChapter 5: End-to-End Model DeploymentChapter Goal: guide the reader on the end-to-end process of deploying a supervised learning model in productionNo of pages:25-301. Meaning of model deployment2. Various steps in the model deployment process3. Preparations to be made like settings, environment etc.4. Various use cases in the deployment5. Practical tips in model deployment
Modern Arm Assembly Language Programming
Gain the fundamentals of Armv8-A 32-bit and 64-bit assembly language programming. This book emphasizes Armv8-A assembly language topics that are relevant to modern software development. It is designed to help you quickly understand Armv8-A assembly language programming and the computational resources of Arm’s SIMD platform. It also contains an abundance of source code that is structured to accelerate learning and comprehension of essential Armv8-A assembly language constructs and SIMD programming concepts. After reading this book, you will be able to code performance-optimized functions and algorithms using Armv8- A 32-bit and 64-bit assembly language.Modern Arm Assembly Language Programming accentuates the coding of Armv8-A 32-bit and 64-bit assembly language functions that are callable from C++. Multiple chapters are also devoted to Armv8-A SIMD assembly language programming. These chapters discuss how to code functions that are used in computationally intense applications such as machine learning, image processing, audio and video encoding, and computer graphics.The source code examples were developed using the GNU toolchain (g++, gas, and make) and tested on a Raspberry Pi 4 Model B running Raspbian (32-bit) and Ubuntu Server (64-bit). It is important to note that this is a book about Armv8-A assembly language programming and not the Raspberry Pi.What You Will Learn* See essential details about the Armv8-A 32-bit and 64-bit architectures including data types, general purpose registers, floating-point and SIMD registers, and addressing modesUse the Armv8-A 32-bit and 64-bit instruction sets to create performance-enhancing functions that are callable from C++ * Employ Armv8-A assembly language to efficiently manipulate common data types and programming constructs including integers, arrays, matrices, and user-defined structures* Create assembly language functions that perform scalar floating-point arithmetic using the Armv8-A 32-bit and 64-bit instruction sets* Harness the Armv8-A SIMD instruction sets to significantly accelerate the performance of computationally intense algorithms in applications such as machine learning, image processing, computer graphics, mathematics, and statistics.* Apply leading-edge coding strategies and techniques to optimally exploit the Armv8-A 32-bit and 64-bit instruction sets for maximum possible performance WHO THIS BOOK IS FORSoftware developers who are creating programs for Armv8-A platforms and want to learn how to code performance-enhancing algorithms and functions using the Armv8-A 32-bit and 64-bit instruction sets. Readers should have previous high-level language programming experience and a basic understanding of C++.Daniel Kusswurm has over 35 years of professional experience as a software developer and computer scientist. During his career, he has developed innovative software for medical devices, scientific instruments, and image processing applications. On many of these projects, he successfully employed assembly language to significantly improve the performance of computationally intense algorithms or solve unique programming challenges. His educational background includes a BS in electrical engineering technology from Northern Illinois University along with an MS and PhD in computer science from DePaul University. Daniel Kusswurm is also the author of Modern X86 Assembly Language Programming (ISBN-13: 978-1484200650) and Modern X86 Assembly Language Programming, Second Edition (ISBN-13: 978-1484240625), both published by Apress.Modern Arm Assembly Language ProgrammingF:\ModArmAsm\Chapters\Outline\ModernArmAsm_Outline (V2).docx Page 1 of 6Daniel KusswurmIntroductionBook overviewTarget audienceContent overviewSource codeTerminology and conventionsAdditional resourcesChapter 1 – Armv8-32 ArchitectureArmv8-32 OverviewData typesFundamental data typesNumerical data typesSIMD data typesInternal architectureGeneral-purpose register fileApplication Program Status Register (APSR)Instruction set overviewInstruction operandsMemory addressing modesChapter 2 – Armv8-32 Core Programming – Part 1Integer arithmeticAddition and subtraction (Ch02_01)Multiplication (Ch02_02)Division (Ch02_03)Integer operationsLoad instructions (Ch02_04)Move instructions (Ch02_05, Ch02_06)Logical operations (Ch02_07)Chapter 3 – Armv8-32 Core Programming – Part 2Basic stack argumentsStack arguments (Ch03_01)Stack arguments using mixed data types (Ch03_02)Advanced stack useModern Arm Assembly Language ProgrammingF:\ModArmAsm\Chapters\Outline\ModernArmAsm_Outline (V2).docx Page 2 of 6Daniel KusswurmStack use with local storage (Ch03_03)Stack use with frame pointer (Ch03_04)Using the APSR condition flagsCompare instructions (Ch03_05)Looping (Ch03_06)Chapter 4 – Armv8-32 Core Programming – Part 3Integer arraysArray arithmetic (Ch04_01)Array arithmetic using mixed-type integers (Ch04_02)Integer matricesMatrix example #1 (Ch04_03)Matrix example #2 (Ch04_04)Advanced programmingAdvanced array operations (Ch04_05)Structures (Ch04_06)Chapter 5 – Armv8-32 Floating-Point ArchitectureFloating-point programming conceptsBinary encodingsNaNsDenormalsFlush to zeroFloating-point registersSingle-precision registersDouble-precision registersFPSCR (floating-point status and control register)Rounding modesExceptionsChapter 6 – Armv8-32 Floating-Point ProgrammingFloating-point arithmeticFP arithmetic example #1 (Ch06_01)FP arithmetic example #2 (Ch06_02)FP arithmetic example #3 (Ch06_03)Floating-point compares and conversionsFP compares (Ch06_04)FP conversions (Ch06_05)Floating-point arrays and matricesModern Arm Assembly Language ProgrammingF:\ModArmAsm\Chapters\Outline\ModernArmAsm_Outline (V2).docx Page 3 of 6Daniel KusswurmFP arrays (Ch06_06)FP matrices (Ch06_07)Advanced floating-point programmingUsing C++ floating-point library functions (Ch06_08)Chapter 7 – Armv8-32 SIMD ArchitectureArmv8-32 SIMD Architecture OverviewSIMD programming conceptsWraparound and saturated arithmeticSIMD architectureRegister setsData typesSIMD arithmetic operationsPacked integer arithmeticPacked floating-point arithmeticChapter 8 – Armv8-32 SIMD Integer ProgrammingPacked integer arithmeticAddition and subtraction (Ch08_01)Multiplication (Ch08_02)Shift and logical operations (Ch08_03)Packed integer image processingPixel minimum and maximum (Ch08_04)Mean intensity (Ch08_05)Image thresholding (Ch08_06)Chapter 9 – Armv8-32 SIMD Floating-Point ProgrammingPacked floating-point arithmeticAddition, subtraction, multiplication, division (Ch09_01)Compares (Ch09_02)Conversions (Ch09_03)Packed floating-point arraysMinimum and maximum (Ch09_04)Least squares (Ch09_05)Packed floating-point matrices4x4 matrix transposition (Ch09_06)4x4 matrix multiplication (Ch09_07)Modern Arm Assembly Language ProgrammingF:\ModArmAsm\Chapters\Outline\ModernArmAsm_Outline (V2).docx Page 4 of 6Daniel KusswurmChapter 10 – Armv8-64 ArchitectureArmv8-64 OverviewData typesNumerical data typesSIMD data typesInternal architectureGeneral-purpose register fileFloating-point and SIMD registersStatus flags and condition codesInstruction set overviewOperandsMemory addressing modesChapter 11 – Armv8-64 Core Programming – Part 1Integer arithmeticAddition & subtraction (Ch11_01)Multiplication (Ch11_02)Division (Ch11_03)Integer operationsLoad and store instructions (Ch11_04)Move instructions (Ch11_05)Logical instructions (Ch11_06)Shift instructions (Ch11_07)Chapter 12 – Armv8-64 Core Programming – Part2Stack arguments and local storageStack arguments using mixed data types (Ch12_01)Stack arguments with local storage (Ch12_02)Using condition codesCompare instructions (Ch12_03)Looping (Ch12_04)Integer arrays and matricesArray programming example (Ch12_05)Matrix programming example (Ch12_06)Chapter 13 – Armv8-64 Floating-Point ProgrammingFloating-point arithmeticSingle-precision arithmetic (Ch13_01)Modern Arm Assembly Language ProgrammingF:\ModArmAsm\Chapters\Outline\ModernArmAsm_Outline (V2).docx Page 5 of 6Daniel KusswurmDouble-precision arithmetic example #1 (Ch13_02)Double-precision arithmetic example #2 (Ch13_03)Floating-point compares and conversionsCompare instructions (Ch13_04)Conversion instructions (Ch13_05)Floating-point arrays and matricesArray programming example (Ch13_06)Matrix programming example (Ch13_07)Advanced floating-point programmingUsing C++ floating-point library functions (Ch13_08)Chapter 14 – Armv8-64 SIMD Integer ProgrammingPacked integer arithmeticAddition and subtraction (Ch14_01)Shift operations (Ch14_02)Multiplication (Ch14_03)Packed integer image processingPixel min/max (Ch14_04)Gray-scale pixel clipping (Ch14_05)Image statistics (Ch14_06)Chapter 15 – Armv8-64 SIMD Floating-Point ProgrammingPacked floating-point arithmeticAddition subtraction, multiplication, division (Ch15_01)Compares (Ch15_02)Conversions (Ch15_03)Packed floating-point arraysCorrelation coefficient (Ch15_04)Image conversion – RGB to grayscale (Ch15_05)Packed floating-point matrices4x4 matrix multiplication (Ch15_06)4x4 matrix-vector multiplication (Ch15_07)Chapter 16 – Armv8-64 Advanced SIMD ProgrammingArmv8 microarchitecture overviewOptimization guidelinesSignal processingFMA convolution (Ch16_01)Modern Arm Assembly Language ProgrammingF:\ModArmAsm\Chapters\Outline\ModernArmAsm_Outline (V2).docx Page 6 of 6Daniel KusswurmVector and matrix operationsVector cross products (Ch16_02)Matrix-vector products (Ch16_03)Matrix inversion (Ch16_04)Appendix A – Source Code and Software Development ToolsSource codeHardware platformHost operating systemsSetup and configurationSoftware toolsg++gasmakeBuilding and executing the source code projectsAppendix B – References and Additional ResourcesArmv8 programming referencesAlgorithm referencesSoftware development resourcesAdditional resources
Modern CSS
Come on a tour of “modern” CSS in 2020. This example-driven book demonstrates the concepts by showing code examples, screenshots, and diagrams to help clearly communicate the information.You'll start with the very basics of CSS: box model, colors, selectors and combinators, and specificity. Then gradually move through more intermediate topics - styling text, positioning, Z-index and stacking contexts, gradients, borders, and then to more advanced topics such as transforms, transitions, animations, flexbox, and CSS grid. Some features are only available in modern browsers (Chrome, Edge, Safari, and Firefox), but information about IE11 compatibility is included where possible.There is a lot of discussion about how hard CSS is, and how intimidated some people are by it, but it doesn’t have to be this way. Modern CSS uses a logical and understandable approach to break down and clearly explain the ins and outs of CSS.WHAT YOU'LL LEARN* Work with the syntax of CSS selectors and calculate specificity* Use styling techniques, fonts and text styling* Review custom properties (variables)* Explore the different ways an element can be transformed* Use animating elements with CSS transitions * Position elements using Flexbox layout* Understand the basics of responsive designWHO THIS BOOK IS FORAnyone who has some experience with HTML, and some CSS, but might not be familiar with some of the newer concepts like flexbox or grid. Also, those looking for a refresher in those areas.JOE ATTARDI is a software engineer specializing in front-end development. He has over 15 years’ experience working with JavaScript, HTML, and CSS, and has worked extensively with front-end technologies such as Angular and React. He currently works at Salesforce, and has worked in the past with companies such as Dell and Nortel. He is also the author of Using Gatsby and Netlify CMS (Apress, 2020). He lives in the Boston area with his wife and son. You can find him on Twitter at @JoeAttardi.1. Introduction to CSS2. CSS Selectors3. Basic CSS Concepts4. Basic Styling5. Backgrounds and Gradients6. Text Styling7. Layout and Positioning8. Transforms9. Transitions and Animations10. Flexbox11. Responsive Design12. CSS Grid13. Wrap-up
Using Gatsby and Netlify CMS
Leverage the powerful new combination of Gatsby and Netlify CMS, a free open source content management solution, to build blazing fast apps. This book shows you how to create a React-powered website using the Gatsby framework for the frontend, and Netlify CMS as the content backend.Through the course of the book you'll gradually build a website for a coffee shop that includes a blog and a bakery/coffee menu that is customizable through Netlify CMS. The project starts with a bare-bones Gatsby site to which you'll add functionality such as setting up/configuring the CMS, creating different types of content, and writing some Gatsby glue code to consume the Markdown data via plugins. When done, you'll be well-equipped to build on your existing JavaScript and React knowledge to effectively use Gatsby and Netlify CMS for yourself or your clients.Using Gatsby and Netlify CMS is an ideal guide for anyone looking to build their own sites and manage their own content without having to deal with creating Markdown files or Git repositories.WHAT YOU'LL LEARN* Clone repositories, install dependencies and deploy on Netlify* Configure Netlify Identity and Git Gateway* Use Netlify CMS Content Manager* Source blog data using Gatsby plugin* Manage dynamic page reactions using Gatsby Node APIs* Work with pagination, content and menus* Customize Netlify CMSWHO THIS BOOK IS FORExperienced JavaScript developers with a good handle on React who want to learn how to build a maintainable Gatsby powered site. Basic familiarity with Gatsby is assumed but not required.JOE ATTARDI is a software engineer specializing in front-end development. He has over 15 years’ experience working with JavaScript, HTML, and CSS, and has worked extensively with front-end technologies such as Angular and React. He currently works at Salesforce, and has worked in the past with companies such as Dell and Nortel. He is also the author of Modern CSS (Apress, 2020). He lives in the Boston area with his wife and son. You can find him on Twitter at @JoeAttardi.1. Introduction to Netlify CMS2. Gatsby Crash Course3. Setting Up the Example Project4. Setting Up Netlify CMS5. The Netlify CMS Application6. Sourcing Blog Data7. Dynamic Page Creation8. Blog Pagination9. Adding More Content10. Creating the Coffee Menu11. Working with Images12. Customizing the CMS13. The Editorial Workflow14. Wrap Up
Serverless Security
Apply the basics of security in serverless computing to new or existing projects. This hands-on guide provides practical examples and fundamentals. You will apply these fundamentals in all aspects of serverless computing: improving the code, securing the application, and protecting the infrastructure. You will come away having security knowledge that enables you to secure a project you are supporting and have technical conversations with cybersecurity personnel.At a time when there are many news stories on cybersecurity breaches, it is crucial to think about security in your applications. It is tempting to believe that having a third-party host the entire computing platform will increase security. This book shows you why cybersecurity is the responsibility of everyone working on the project.WHAT YOU WILL LEARN* Gain a deeper understanding of cybersecurity in serverless computing* Know how to use free and open source tools (such as the Node Package Manager, ESLint, and VSCode) to reduce vulnerabilities in your application code* Assess potential threats from event triggers in your serverless functions* Understand security best practices in serverless computing* Develop an agnostic security architecture while reducing risk from vendor-specific infrastructureWHO THIS BOOK IS FORDevelopers or security engineers looking to expand their current knowledge of traditional cybersecurity into serverless computing projects. Individuals just beginning in serverless computing and cybersecurity can apply the concepts in this book in their projects.MIGUEL CALLES is a freelance cybersecurity content writer. He has an information assurance certification, and works as an engineer on a serverless project. He started in cybersecurity in 2016 for a US government contract, and has been doing technical writing since 2007, and has worked in various engineering roles since 2004. Miguel started his interest in cybersecurity when he was in middle school and was trying to backward engineer websites.INTRODUCTIONPART I: THE NEED FOR SECURITYCHAPTER 1: DETERMINING SCOPEUnderstanding the ApplicationScopingCHAPTER 2: PERFORMING A RISK ASSESSMENTUnderstanding the Threat LandscapeThreat ModelingPreparing the Risk AssessmentPart II: Securing the ApplicationCHAPTER 3: SECURING THE CODEAssessing DependenciesUsing Static Code Analysis ToolsWriting Unit TestsCHAPTER 4: SECURING THE INTERFACESIdentifying the InterfacesDetermining the Interface InputsReducing the Attack SurfaceCHAPTER 5: SECURING THE CODE REPOSITORYUsing a Code RepositoryLimiting Saved ContentPART III: SECURING THE INFRASTRUCTURECHAPTER 5: RESTRICTING PERMISSIONSUnderstanding PermissionsIdentifying the ServicesUpdating the PermissionsCHAPTER 6: ACCOUNT MANAGEMENTUnderstanding Account AccessRestricting Account AccessImplementing Multi-Factor AuthenticationUsing SecretsPART IV: MONITORING AND ALERTINGCHAPTER 7: MONITORING LOGSUnderstanding Logging MethodsReviewing LogsCHAPTER 8: MONITORING METRICSUnderstanding MetricsReviewing MetricsCHAPTER 9: MONITORING BILLINGUnderstanding BillingReviewing BillingCHAPTER 10: MONITORING SECURITY EVENTSUnderstanding Security EventsReviewing Security EventCHAPTER 10: ALERTINGUnderstanding AlertingImplementing AlertingCHAPTER 11: AUDITINGUnderstanding AuditingImplementing AuditingPART V: SECURITY ASSESSMENT AND REPORTCHAPTER 12: FINALIZING THE RISK ASSESSMENTScoring the Identified RisksDefining the Mitigation StepsAssessing the Business ImpactDetermining the Overall Security Risk Level
Learn PHP 8
Write solid, secure, object-oriented code in the new PHP 8. In this book you will create a complete three-tier application using a natural process of building and testing modules within each tier. This practical approach teaches you about app development and introduces PHP features when they are actually needed rather than providing you with abstract theory and contrived examples.In Learn PHP 8, programming examples take advantage of the newest PHP features; you’ll follow a learn-by-doing approach, which provides you with complete coding examples. “Do It” exercises in each chapter provide the opportunity to make adjustments to the example code. The end-of-chapter programming exercises allow you to develop your own applications using the algorithms demonstrated in the chapter.Each tier is logically and physically separated using object-oriented and dependency injection techniques, thus allowing independent tiers that can be updated with little or no effect on the other tiers. In addition to teaching good programming practices through OOP, there is a strong emphasis on creating secure code.As each chapter is completed, you’ll have the opportunity to design and create an application reinforcing the concepts learned.WHAT YOU WILL LEARN* Program PHP 8 web applications* Use interfaces, containers, and platforms* Apply modular programming * Manage data objects and use MySQL and other databasesWork with multi-functional and secure user interfaces * Handle logging exceptions and moreWHO THIS BOOK IS FORThose new to web development, specifically PHP programming. Also, this book can be useful to those who have some PHP/web development experience who are new to PHP 8.Steve Prettyman is a college instructor on PHP programming, web development, and related technologies. He is and has been a practicing web developer and is a book author.1. Introduction to PHP 82. Interfaces, Platforms, Containers: Three-Tiers Programming3. Modular Programming4. Secure User Interfaces5. Handling and Logging Exceptions6. Data Objects7. Authentication8. Multi-functional Interfaces
Beginning C++20
Begin your programming journey with C++ , starting with the basics and progressing through step-by-step examples that will help you become a proficient C++ programmer. This book includes new features from the C++20 standard such as modules, concepts, ranges, and the spaceship operator. All you need are Beginning C++20 and any recent C++ compiler and you'll soon be writing real C++ programs. There is no assumption of prior programming knowledge.All language concepts that are explained in the book are illustrated with working program examples, and all chapters include exercises for you to test and practice your knowledge. Free source code downloads are provided for all examples from the text and solutions to the exercises.This latest edition has been fully updated to the latest version of the language, C++20, and to all conventions and best practices of modern C++. Beginning C++20 also introduces the elements of the C++ Standard Library that provide essential support for the C++20 language.WHAT YOU WILL LEARN* Begin programming with the C++20 standard* Carry out modular programming in C++* Work with arrays and loops, pointers and references, strings, and more* Write your own functions, types, and operators* Discover the essentials of object-oriented programming* Use overloading, inheritance, virtual functions, and polymorphism* Write generic function and class templates, and make them safer using concepts * Learn the ins and outs of containers, algorithms, and ranges* Use auto type declarations, exceptions, move semantics, lambda expressions, and much moreWHO THIS BOOK IS FORProgrammers new to C++ and those who may be looking for a refresh primer on C++ in general.IVOR HORTON is self-employed in consultancy and writes programming tutorials. He is the author of many programming books. Ivor worked for IBM for many years and holds a bachelor's degree, with honors, in mathematics. Horton's experience at IBM includes programming in most languages (including assembler and high-level languages on a variety of machines), real-time programming, and designing and implementing real-time closed loop industrial control systems. He has extensive experience teaching programming to engineers and scientists (Fortran, PL/1, APL, etc.). Horton is an expert in mechanical, process, and electronic CAD systems; mechanical CAM systems; and DNC/CNC systems.PETER VAN WEERT works for Danaher in its R&D unit for digital dentistry software, developing software for the dental practice of tomorrow. In his spare time, he has co-authored two books on C++ and two award-winning Windows 8 apps and is a regular expert speaker at, and board member of, the Belgian C++ Users Group. He is a software engineer whose main interests and expertise are application software development, programming languages, algorithms, and data structures.He received his master of science degree in computer science summa cum laude with congratulations of the Board of Examiners from the University of Leuven. In 2010, he completed his PhD thesis there on the design and efficient compilation of rule-based programming languages at the research group for declarative programming languages and artificial intelligence. During his doctoral studies, he was a teaching assistant for object-oriented programming (Java), software analysis and design, and declarative programming. After graduating, Peter worked at Nikon Metrology for more than six years on large-scale, industrial application software in the area of 3D laser scanning and point cloud inspection. He learned to master C++ and refactoring and debugging of very large code bases, and he gained further proficiency in all aspects of the software development process, including the analysis of functional and technical requirements, and agile and scrum-based project and team management.1. Basic Ideas2. Introducing Fundamental Types of Data3. Working Fundamental Types4. Making Decisions5. Arrays and Loops6. Pointers and References7. Working with Strings8. Defining Functions9. Vocabulary Types10. Function Templates11. Modules and Namespaces12. Defining your own Data Types13. Operator Overloading14. Inheritance15. Polymorphism16. Runtime Errors and Exceptions17. Class Templates18. Move Semantics19. First-Class Functions20. Containers and Algorithms21. Constrained Templates and ConceptsAppendix A (online only; to be offered as part of source code download)
Learn Android Studio 4
Build and deploy your Java-based Android apps using the popular and efficient Android Studio 4 suite of tools, an integrated development environment (IDE) for today's Android developers. With this book, you’ll learn the latest and most productive tools in the Android tools ecosystem, ensuring quick Android app development and minimal effort on your part.Among these tools, you'll use the new Android Studio 4 features, including an upgraded CPU profiler UI, a new build speed window, the multi-preview feature, and the live layout inspector.After reading and using this book, you'll be able to efficiently build complete Java-based Android apps that run on any Android smartphone, tablet, smart watch and more. You’ll also be able to publish those apps and sell them online and in the Google Play store.WHAT YOU WILL LEARN* Use Android Studio 4 to quickly and confidently build your first Android apps* Build an Android user interface using activities and layouts, event handling, images, menus, and the action bar* Work with new tools in Android Studio 4: Jetpack compose support, a smart editor for ProGuard rules, a new motion layout editor, a new Android Gradle plugin, and a fragment wizard with new fragment templates * Integrate data with data persistence * Access the cloud WHO THIS BOOK IS FORThose who may be new to Android Studio 4 or Android Studio in general. You may or may not be new to Android development. Some prior experience with Java is recommended.Ted Hagos is currently heading the software development group of a Dublin-based software development company. He is a certified Java programmer and enterprise architect. He has over 15 years of software development experience, and many years of experience in corporate training. He held a post as instructor in IBM Advanced Career Education, Ateneo ITI and Asia Pacific College, and has trained hundreds of programmers in various languages and platforms.1. Overview2. Android Studio3. Project Basics4. Android Studio IDE5. Android Programming Basics6. Activities and Layouts7. Event Handling8. Intents9. Fragments10. Navigation Components11. Running in the background12. Debugging13. Testing14. Working with Files15. BroadcastReceivers16. Jetpack LiveData, ViewModel, LiveData and Room17. App Distribution18. Appendix : Java Refresher
PyTorch für Deep Learning
PyTorch für Deep Learning - Anwendungen für Bild-, Ton- und Textdaten entwickeln und deployenMit diesem Praxisbuch meistern Sie die Methoden des Deep Learning, einer Teildisziplin des Machine Learning, die die Welt um uns herum verändert. Machen Sie sich mit PyTorch, dem populären Python-Framework von Facebook, vertraut, und lernen Sie Schlüsselkonzepte und neueste Techniken kennen, um eigene neuronale Netze zu entwickeln.Ian Pointer zeigt Ihnen zunächst, wie Sie PyTorch in einer Cloud-basierten Umgebung einrichten. Er führt Sie dann durch die einzelnen Schritte der Entwicklung von neuronalen Architekturen, um typische Anwendungen für Bilder, Ton, Text und andere Datenformate zu erstellen. Er erläutert auch das innovative Konzept des Transfer Learning und das Debuggen der Modelle. Sie erfahren zudem, wie Sie Ihre Deep-Learning-Anwendungen in den Produktiveinsatz bringen.Aus dem Inhalt:Ergründen Sie modernste Modelle für das Natural Language Processing, die mit umfangreichen Textkorpora wie dem Wikipedia-Datensatz trainiert wurdenVerwenden Sie das PyTorch-Paket torchaudio, um Audiodateien mit einem neuronalen Konvolutionsmodell zu klassifizierenLernen Sie, wie man Transfer Learning auf Bilder anwendetDebuggen Sie PyTorch-Modelle mithilfe von TensorBoard und FlammendiagrammenDeployen Sie PyTorch-Anwendungen im Produktiveinsatz in Docker-Containern und Kubernetes-Clustern, die in der Google Cloud laufenErkunden Sie PyTorch-Anwendungsfälle von führenden UnternehmenFür die deutsche Ausgabe wurde das Buch in Zusammenarbeit mit Ian Pointer von Marcus Fraaß aktualisiert und um einige Themen erweitert.Leseprobe (PDF-Link)Inhaltsverzeichnis (PDF-Link)Über den Autor:Ian Pointer ist Data Engineer. Er hat sich auf Lösungen für Fortune-100-Kunden spezialisiert, die auf Methoden des Machine Learnings (insbesondere Deep Learning) basieren. Ian arbeitet derzeit bei Lucidworks, wo er sich innovativen NLP-Anwendungen und dem Engineering widmet.
Programmieren ganz einfach
So leicht kann Programmieren sein! Der ultimative Einstieg in die Welt des Programmierens! Dieses Programmier-Buch führt Sie mit anschaulichen Anleitungen, Grafiken & benutzerfreundlichen Bausteinen Schritt für Schritt in die wichtigsten Programmiersprachen ein – ob Python oder Scratch. In praktischen Projekten bauen Sie Webseiten, programmieren Spiele, designen Apps, arbeiten mit Raspberry Pi und lernen die gängigen Fachbegriffe wie Algorithmus & Variable – mit leicht verständlichen Erklärungen. Basis-Wissen rund ums Programmieren: • Die wichtigsten Programmiersprachen: Ob Sie HTML oder Scratch nutzen, Python oder Java lernen möchten – diese Sprachen werden anschaulich und leicht verständlich erklärt. • Programmieren lernen Schritt-für-Schritt: Vom Spiel bis zur Website – in detaillierten Projekten mit einfachen Anleitungen setzen Sie das Gelernte in die Praxis um und lernen so die Hauptanwendungen jeder Programmiersprache kennen. Informationen zum Lernziel vermitteln die benötigte Zeit sowie den Schwierigkeitsgrad. Symbole, farbige Fenster mit Rastern und Ablaufpläne, die die Programmstruktur erklären, leiten durch die Projekte. • Visuelle & leicht verständliche Aufbereitung: Durch Einteilung in benutzerfreundliche Bausteine und grafische Erklärungen werden selbst komplexe Zusammenhänge begreifbar gemacht.
Creating Good Data
Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data.Data analysts are often presented with datasets for exploration and study that are poorly designed, leading to difficulties in interpretation and to delays in producing meaningful results. Much data analytics training focuses on how to clean and transform datasets before serious analyses can even be started. Inappropriate or confusing representations, unit of measurement choices, coding errors, missing values, outliers, etc., can be avoided by using good dataset design and by understanding how data types determine the kinds of analyses which can be performed.This book discusses the principles and best practices of dataset creation, and covers basic data types and their related appropriate statistics and visualizations. A key focus of the book is why certain data types are chosen for representing concepts and measurements, in contrast to the typical discussions of how to analyze a specific data type once it has been selected.WHAT YOU WILL LEARN* Be aware of the principles of creating and collecting data* Know the basic data types and representations* Select data types, anticipating analysis goals* Understand dataset structures and practices for analyzing and sharing* Be guided by examples and use cases (good and bad)* Use cleaning tools and methods to create good dataWHO THIS BOOK IS FORResearchers who design studies and collect data and subsequently conduct and report the results of their analyses can use the best practices in this book to produce better descriptions and interpretations of their work. In addition, data analysts who explore and explain data of other researchers will be able to create better datasets.HARRY J. FOXWELL is a professor. He teaches graduate data analytics courses at George Mason University in the department of Information Sciences and Technology and he designed the data analytics curricula for his university courses. He draws on his decades of experience as Principal System Engineer for Oracle and for other major IT companies to help his students understand the concepts, tools, and practices of big data projects. He is co-author of several books on operating systems administration. He is a US Army combat veteran, having served in Vietnam as a Platoon Sergeant in the First Infantry Division. He lives in Fairfax, Virginia with his wife Eileen and two bothersome cats.INTRODUCTIONGoal: The problem of dataset cleaning and why better design is neededWho this book is forCHAPTER 1: BASIC DATA TYPESGoal: understanding data typesNominal, ordinal, interval, ratio, otherHow/why to choose specific representationsCHAPTER 2: PLANNING YOUR DATA COLLECTIONGoal: preventive action, avoiding data creation errorsAnticipating your required analysisThe goals of descriptive statistics and visualizationsThe goals of relationship statistics and visualizationsIndependent and dependent variablesCHAPTER 3: DATASET STRUCTURESGoal: Understanding how to structure/store dataTypes of datasets.csv, SQL, Excel, Web, JSON,Sharing data (open formats)Managing datasetsCHAPTER 4: DATA COLLECTION ISSUESGoal: Understanding how to collect dataUnderstand and avoid BiasSamplingCHAPTER 5: EXAMPLES AND USE CASESGoal: Illustrate good & not so good datasetsCHAPTER 6: TOOLS FOR DATASET CLEANINGGoal: still need some data cleanup? here’s some helpData cleaning using R, Python, commercial tools (e.g., Tableau)ANNOTATED REFERENCESGoal: include helpful data design and cleaning references
Digital Listening für Unternehmen
Dieses Buch zeigt für Entscheider auf, wie Unternehmen die Inhalte im digitalen Raum erschließen und so ihre Sicherheit und Wettbewerbsposition entscheidend stärken. Digital Listening heißt, das Internet als Meinungs- und Informationsraum ernst zu nehmen und durch qualifizierte Analysen die eigene Sicht zu verbessern.Martin Grothe erklärt mit einem durchgängigen Prozessleitfaden sowie den notwendigen Hintergründen und Tools, wie Sie mit Digital Listening Ihr Sicherheitslagebild, eine Früherkennung von Bedrohungen, die Zielgruppenkommunikation, das Personalmarketing sowie den Schutz exponierter Persönlichkeiten wegweisend ausbauen.Führungskräfte erhalten Einblicke in mehrere Fachbereiche, aber auch den notwendigen Überblick: Sie finden einen strukturierten Zugang zu verfügbaren Tools, blicken in das Darknet, nehmen Reporting-Formate als Vorlagen auf, schlüpfen in die Rolle der dunklen Seite, hören Influencern zu und deklinieren einen Strategiefahrplan zumEngagement-Aufbau als Arbeitgeber durch. Wer Entwicklungen früher erkennt, Kontexte genauer versteht und Kommunikation passgenauer formuliert, der kann die Zukunft aktiver gestalten.Aus dem Inhalt* Sicherheit und Wettbewerb in digitalen Zeiten: Digital Listening und die dunkle Seite* Intelligence Cycle: Vorgehen und Tools (Open Source, Advanced)* Unternehmenssicherheit: Desinformation, Data-Breaches und der G20-Case* Personenschutz: Angriffsvektoren und Sichtbarkeitsanalysen* Market Intelligence: Personalmarketing, Influencer, AI, Counterintelligence* Gestaltungsaufgabe für das Management: Integration und Ausblick* Viele Case Studies und Skizzen mit konkreten EinsatzszenarienMit Gastbeiträgen vonHeinz-Werner Aping (Direktor beim BKA a.D.)Prof. Dr. Peter Gentsch (Intelligence Group)Friedrich Christian Haas (AKE Group)Jerry Hoffmann (Counteraction)Udo Hohlfeld (INFO + DATEN)Samira Mousa (healthy content)Chris West (Counteraction)Klaus Pfeifer (Pinkerton)Prof. Dr. Martin Grothe beschäftigt sich seit den 90er Jahren mit der Mustererkennung in komplexen Strukturen: Der Digitalraum entwickelte sich zum perfekten Arbeitsfeld.Martin Grothe gründete nach Stationen mit den Schwerpunkten Consulting, Controlling und Community Building in 2004 die complexium GmbH in Berlin. Als Mission werden mit eigenen Formaten, Methoden und Technologien „Insights“ im digitalen Raum strukturiert entdeckt, um Klienten einen Vorsprung in den Bereichen Unternehmenssicherheit, Personenschutz, Market Intelligence, Innovationsscanning und Personalmarketing zu ermöglichen. Module der Technologie wurden in Kooperation mit dem Robert-Koch-Institut vom BMBF gefördert: „Forschung für die zivile Sicherheit“. Aufbauend entstand etwa mit der Allianz für Sicherheit in der Wirtschaft die Studie: „#Desinformation: Lage, Prognose und Abwehr.“Prof. Grothe ist Honorarprofessor an der Universität der Künste UdK Berlin im Bereich Digitale Kommunikation. Seine Alma Mater ist die WHU – Otto Beisheim School of Management.Sicherheit und Wettbewerb in digitalen Zeiten – neue Chancen und Risiken.- Wie zuhören im Digitalen Datenraum – das Vorgehen.- Spezielle Werkzeuge der Open Source Intelligence.- Processing (Advanced): Inhaltserschließung von „Unknown Unknowns“.- Exploring Digital Risk in Dark Networks.- Einsatzfeld Unternehmenssicherheit: Bedrohungen erkennen und vor die Lage kommen.- Was sich für die Unternehmenssicherheit ändert.- Neue Bedrohung 1: Digitalisierung der Desinformation.- Neue Bedrohung 2: Data Breaches als Munition für böswillige Dritte.- Digital Listening und Corporate Security: Formate und Perspektiven.- Case G20-Gipfel: Sicherheitslagebild und Früherkennung.- Einsatzfeld digitaler Personenschutz: mit Sichtbarkeit umgehen.- Personenschutz und die digitale Ebene (Gastbeitrag Heinz-Werner Aping).- Digital Listening, eigenes Digitalverhalten und Möglichkeiten der Ausspähung durch Dritte.- Digitaler Personen- und Familienschutz.- Einsatzfeld Market Intelligence: Chancen der Transparenz nutzen.- Mustersuche durch Netzwerkanalyse digitaler Kommunikation.- Digital Listening und Personalmarketing: Zielgruppen zuhören und besser erreichen.- Digital Listening und Healthcare Influencer Marketing.- Digital Listening und Artificial Intelligence für Lead Prediction und Company Scoring (Gastbeitrag Peter Gentsch).- What have you got to lose? The case for Corporate Counterintelligence (Gastbeitrag von Chris West, Jerry Hoffmann and Udo Hohlfeld).- Gestaltungsaufgabe für das Management.- Integration von Zielkonflikten.- Ausblick: Auf zum nächsten Level!
Learn Data Science Using SAS Studio
Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web browser-based product for educational and non-commercial purposes. The power of SAS Studio comes from its visual point-and-click user interface that generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks.The book includes a case study about analyzing the data required for predicting the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples including analyzing stocks, oil and gold prices, crime, marketing, and healthcare. You will see data science in action and how easy it is to perform complicated tasks and visualizations in SAS Studio.You will learn, step-by-step, how to do visualizations, including maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks. The book introduces you to multiple SAS products such as SAS Viya, SAS Analytics, and SAS Visual Statistics.WHAT YOU WILL LEARN* Become familiar with SAS Studio IDE* Understand essential visualizations* Know the fundamental statistical analysis required in most data science and analytics reports* Clean the most common data set problems* Use linear progression for data prediction* Write programs in SAS* Get introduced to SAS-Viya, which is more potent than SAS studioWHO THIS BOOK IS FORA general audience of people who are new to data science, students, and data analysts and scientists who are experienced but new to SAS. No programming or in-depth statistics knowledge is needed.ENGY FOUDA is an author, freelance engineer, and journalist. She also is a freelance instructor and teaches SAS, Docker Fundamentals, Docker for Enterprise Developers, Docker for Enterprise Operations, and Kubernetes. Engy holds two master's degrees, one in journalism from Harvard University, Extension School, and another in computer engineering from Cairo University, Egypt. She earned the Data Science Professional Graduate Certificate from Harvard University, Extension School. She volunteers as the Team Lead for Momken Group (Engineering for the Blind), Egypt Scholars Inc. The team designs and manufactures devices and develops Arabic applications for visually impaired people in the MENA region. Engy volunteers as a Member-at-Large and as newsletter editor of the IEEE Mid-Hudson section. And she published several books that made Amazon's best-selling charts for Arabic books.
Designing Products for Evolving Digital Users
Digital user behavior is evolving at an ever-increasing pace, and predicting future trends is a booming business as a result. Users associate technology with their identities now more than ever, and it is up to you as a product designer to enhance their experience for the better. Designing Products for Evolving Digital Users is a 21st century handbook that helps you do just that. By providing insights that allow you to study UX (user experience) behavior patterns, online communities, and future digital trends, Designing Products for Evolving Digital Users instills confidence and fact-based foundations for your digital creations. Author Anastasia Utesheva expertly teaches you how to account for the way the technology impacts the identity of users and how that identity shifts through ongoing interaction with a product or service. She also brings in important case studies on social media, gaming, eRetail, and more to illustrate past examples of technology’s profound impact on communal and individual identity. Digital product design’s ultimate end goal is end user satisfaction. While a myriad of material is available out there consisting of simple tips and tricks for optimal digital design, Designing Products for Evolving Digital Users is a rare and remarkable title that cohesively accounts for all environmental factors involved. Comprehend how distributed technology impacts creation and negotiation of identity and explore communities that form around digital products. UX designers, futurists, students, and industry veterans alike have an abundance of invaluable learning ahead of them in Designing Products for Evolving Digital Users. What You Will Learn Learn how to design digital products/services that resonate with and transform identity of usersStudy how digital impacts formation of identityConsider how digital technology has impacted our world and implications for future digital trends Who This Book Is For UX designers, digital product creators, entrepreneurs, educators, philosophy of technology enthusiasts, futurists
Linux Mint 20
* GANZ EINFACH UND SCHRITT FÜR SCHRITT AUF LINUX MINT UMSTEIGEN* DIE BENUTZEROBERFLÄCHE VON LINUX MINT KENNENLERNEN UND AN DIE EIGENEN BEDÜRFNISSE ANPASSEN* WINDOWS UND LINUX MINT PARALLEL BETREIBENSteigen Sie mit Mint ein in die Linux-Welt!Egal, ob Sie Linux Mint parallel zu einem anderen Betriebssystem einsetzen oder ausschließlich damit arbeiten wollen: Dieses Buch nimmt Sie an die Hand und ermöglicht Ihnen einen problemlosen Start mit Linux Mint 20 (Ulyana).Christoph Troche erläutert Ihnen leicht nachvollziehbar die verschiedenen Installationsmöglichkeiten von Linux Mint (Live-Version, Festinstallation, allein oder parallel zu Windows). Er zeigt Ihnen Schritt für Schritt, wie Sie Mint einrichten, und stellt die Standard-Arbeitsoberfläche Cinnamon ausführlich vor, so dass Sie direkt loslegen können.Sie erfahren außerdem, wie Sie Software, die ursprünglich für den Betrieb unter Windows gedacht ist, trotzdem installieren können. Für einen kompletten Umstieg empfiehlt der Autor Ihnen aber auch geeignete Linux-Alternativen. Darüber hinaus erhalten Sie wertvolle Informationen und Tipps zur Sicherheit Ihres Systems.So hilft Ihnen dieses Praxisbuch optimal dabei, alle im Alltag anfallenden Aufgaben problemlos mit Linux Mint zu meistern.AUS DEM INHALT:* Die Vorteile von Linux Mint* Live-Version und vollständige Installation* Finetuning – Linux Mint einrichten* Was finde ich wo? Der Aufbau des Desktops* Windows-Programme mit Linux Mint nutzen* Linux-Alternativen für bekannte Windows-Programme* Linux Mint als Mehrbenutzersystem* Sicherheit und Datenschutz* Der Linux-VerzeichnisbaumChristoph Troche ist Fachbuchautor und Linux-User der ersten Stunde. Er legt besonders großen Wert auf die praktische Anwendbarkeit und Benutzerfreundlichkeit seiner Anleitungen.
BigQuery for Data Warehousing
Create a data warehouse, complete with reporting and dashboards using Google’s BigQuery technology. This book takes you from the basic concepts of data warehousing through the design, build, load, and maintenance phases. You will build capabilities to capture data from the operational environment, and then mine and analyze that data for insight into making your business more successful. You will gain practical knowledge about how to use BigQuery to solve data challenges in your organization.BigQuery is a managed cloud platform from Google that provides enterprise data warehousing and reporting capabilities. Part I of this book shows you how to design and provision a data warehouse in the BigQuery platform. Part II teaches you how to load and stream your operational data into the warehouse to make it ready for analysis and reporting. Parts III and IV cover querying and maintaining, helping you keep your information relevant with other Google Cloud Platform services and advanced BigQuery. Part V takes reporting to the next level by showing you how to create dashboards to provide at-a-glance visual representations of your business situation. Part VI provides an introduction to data science with BigQuery, covering machine learning and Jupyter notebooks.WHAT YOU WILL LEARN* Design a data warehouse for your project or organization* Load data from a variety of external and internal sources* Integrate other Google Cloud Platform services for more complex workflows* Maintain and scale your data warehouse as your organization grows* Analyze, report, and create dashboards on the information in the warehouse* Become familiar with machine learning techniques using BigQuery MLWHO THIS BOOK IS FORDevelopers who want to provide business users with fast, reliable, and insightful analysis from operational data, and data analysts interested in a cloud-based solution that avoids the pain of provisioning their own servers.MARK MUCCHETTI is an industry technology leader in healthcare and ecommerce. He has been working with computers and writing software for over 30 years, starting with BASIC and Turbo C on an Intel 8088 and now using Node.js in the cloud. He has been building and managing technology groups for much of that time, combining his deep love of technical topics with his management skills to create world-class platforms. Mark has also worked in databases, release engineering, front- and back-end coding, and project management. He believes that the best decisions are made with the best data available, and that BigQuery is a great technology to increase the value and accessibility of data for business leaders on a day-to-day basis. He has seen the transformation that accurate, timely data has on an organization’s ability to succeed, and wants to bring that knowledge to the world in a people-first way. PART I. BUILDING A WAREHOUSE1. Settling into BigQuery2. Starting Your Warehouse Project3. All My Data4. Managing BigQuery CostsPART II. FILLING THE WAREHOUSE5. Loading Data Into the Warehouse6. Streaming Data Into the Warehouse7. DataflowPART III. USING THE WAREHOUSE8. Care and Feeding of Your Warehouse9. Querying the Warehouse10. Scheduling Jobs11. Serverless Functions with GCP12. Cloud LoggingPART IV. MAINTAINING THE WAREHOUSE13. Advanced BigQuery14. Data Governance15. Adapting to Long-Term ChangePART V. REPORTING ON AND VISUALIZING YOUR DATA16. Reporting17. Dashboards and Visualization18. Google Data StudioPART VI. ENHANCING YOUR DATA'S POTENTIAL19. BigQuery ML20. Jupyter Notebooks and Public Datasets21. Conclusion22. Appendix A: Cloud Shell and Cloud SDK23. Appendix B: Sample Project Charter
Monitoring Microservices and Containerized Applications
Discover the methodologies and best practices for getting started with container services monitoring using Prometheus, AppDynamics, and Dynatrace. The book begins with the basics of working with the containerization and microservices architecture while establishing the need for monitoring and management technologies. You’ll go through hands-on deployment, configuration, and best practices for Prometheus. Next, you’ll delve deeper into monitoring of container ecosystems for availability, performance, and logs, and then cover the reporting capabilities of Prometheus. Further, you’ll move on to advanced topics of extending Prometheus including how to develop new use cases and scenarios.You’ll then use enterprise tools such as AppDynamics and Wavefront to discover deeper application monitoring best practices. You’ll conclude with fully automated deployment of the monitoring and management platforms integrated with the container ecosystem using infrastructure-as -code tools such as Jenkins, Ansible and Terraform. The book provides sample code and best practices for you to look at container monitoring from a holistic viewpoint.This book is a good starting point for developers, architects, and administrators who want to learn about monitoring and management of cloud native and microservices containerized applications.WHAT YOU WILL LEARN* Examine the fundamentals of container monitoring* Get an overview of the architecture for Prometheus and Alert Manager* Enable Prometheus monitoring for containers* Monitor containers using Wavefront* Use the guidelines on container monitoring with enterprise solutions AppDynamics and Wavefront WHO THIS BOOK IS FORSoftware developers, system administrators, and DevOps engineers working for enterprise customers who want to use monitoring solutions for their container ecosystems.Navin Sabharwal is an innovator, thought leader, author, and consultant in the areas of AI, machine learning, cloud computing, big data analytics, and software product development. He is responsible for IP development and service delivery in the areas of AI and machine learning, automation products, GCP, cloud computing, public cloud AWS, and Microsoft Azure. Navin has created niche award-winning products and solutions and has filed numerous patents in diverse fields such as IT services, assessment engines, ranking algorithms, capacity planning engines, and knowledge management.Piyush is a solution architect for automation, DevOps, and cloud services with 10 years of IT experience. He is currently working as a deputy general manager at HCL DRYiCE, focusing on creating solutions catering to cloud adoption (including cloud landing zone, migration, and operations), automation, orchestration, and cloud life-cycle management.Chapter 1 Container Overview• Container introduction• Container ecosystem overview• Container architectureChapter 2 Getting Started with Container• Container images• Running the first container• Deploying applicationChapter 3 Introduction to Prometheus and Alert manager• Prometheus overview• Monitoring architecture• Setting up Prometheus & Alert managerChapter 4 Container Availability Monitoring• Availability monitoring introduction• Key KPI and metrics for Container ecosystem• Hands on configuration of availability monitoringChapter 5 Container Performance Monitoring• Performance monitoring introduction• Key KPI and metrics for Container ecosystem• Hands on configuration of performance monitoringChapter 6 Container Log Monitoring• Log Monitoring introduction• Key KPI and Metrics for Container ecosystem• Hands on configuration of Log monitoringChapter 7 Container Reporting & Dashboards• Introduction to reporting dashboard solution• Prometheus with Grafana• Prometheus with KibanaChapter 8 Working with Prometheus Query Language (PromQL)• Introduction to basic concepts• Working with time series data• Integration APIChapter 9 Automation and Orchestration of Container Monitoring• Introduction to Infra as code solution• Integration with IaC solution• Hands on configuration of Jenkins/Ansible/Terraform based pipeline
Entwicklung eines Customization Frameworks für cloudbasierte Shopfloor Management Systeme. Wie digitale Produkte für Kunden individualisierbar bleiben
Durch die voranschreitende Digitalisierung und die damit verbundene digitale Verfügbarkeit von Produktionsprozessdaten in Echtzeit ergeben sich auf Shopfloor-Ebene neue Möglichkeiten. Besonderes Potenzial bieten die rechnergestützte Auswertung und die Interaktion mit den Mitarbeitern vor Ort, aber auch mit dem Management. Doch die Datenintegration in Produktionsprozesse bringt auch Herausforderungen. Digitale Produkte sollen kundenspezifisch individualisierbar sein, bei der Einbindung in Unternehmen sind daher meist funktionale und technische Anpassungen notwendig. Dadurch wird für den Kunden die angestrebte Digitalisierung langwierig und kostenintensiv, für den Anbieter herrscht Planungsunsicherheit. Jan Heimer leitet ein Customization Framework für ein digitales Shopfloor Management System her. Mit diesem sollen Skalierbarkeit, Standardisierung und Flexibilität auch bei einer cloudbasierten Systemarchitektur erreicht werden, sodass Kunden neue Systeme flexibel nach ihren Wünschen anpassen können. Aus dem Inhalt: - Hybrid-Cloud; - Industrie 4.0; - Lean Management; - Digitale Transformation; - Nutzenkontext
Projekt Unicorn
Mit Spannung erwarteter Folgeband zum Bestseller "Projekt Phoenix" - Roman, der "Projekt Phoenix" um die Perspektive der Entwickler ergänzt - Wall Street Journal-Bestseller in den USA - fesselnde Story über die Herausforderungen moderner Softwareentwicklung in Zeiten der digitalen Transformation Parts Unlimited – ein milliardenschweres Unternehmen der Automobilbranche – steht kurz davor, aus dem Markt verdrängt zu werden. Nach einer folgenschweren Panne bei der Lohn- und Gehaltsabrechnung wird Maxine, eine leitende Softwareentwicklerin, unverschuldet in das berüchtigte Projekt Phoenix strafversetzt. Dort verzweifelt sie fast an einem bürokratischen Monsterapparat mit endlosen Meetings und hochkomplizierten Regeln – bis sie von firmeninternen Rebellen angeworben wird, die die bestehende Ordnung umstürzen wollen: Damit Entwicklerinnen und Entwickler wieder echte Freude an ihrer Arbeit haben. Die kluge und kämpferische Maxine und ihre rebellischen Kolleginnen und Kollegen rufen Projekt Unicorn ins Leben und setzen dabei auf die "Fünf Ideale". Damit verändern sie grundlegend, wie die Business- und Technologiebereiche des Unternehmens zusammenarbeiten – und geraten in das Fadenkreuz einflussreicher und gefährlicher Gegner. Gelingt es ihnen, das Überleben von Parts Unlimited in einem Wettrennen gegen die Zeit zu sichern? Packend beschreibt Gene Kim, Autor des Bestsellers "Projekt Phoenix", die Herausforderungen, denen sich Unternehmen – und alle, die in ihnen arbeiten – im Zeitalter von Digital Disruption stellen müssen: in der Softwareentwicklung und als lernende Organisation. Sie werden sich in diesem Roman wiederfinden – und die fesselnde Story wird Sie unterhalten und Ihnen viele Denkanstöße geben.
C Programming For Dummies
GET AN A GRADE IN CAs with any major language, mastery of C can take you to some very interesting new places. Almost 50 years after it first appeared, it's still the world's most popular programming language and is used as the basis of global industry's core systems, including operating systems, high-performance graphics applications, and microcontrollers. This means that fluent C users are in big demand at the sharp end in cutting-edge industries—such as gaming, app development, telecommunications, engineering, and even animation—to translate innovative ideas into a smoothly functioning reality.To help you get to where you want to go with C, this 2nd edition of C Programming For Dummies covers everything you need to begin writing programs, guiding you logically through the development cycle: from initial design and testing to deployment and live iteration. By the end you'll be au fait with the do's and don'ts of good clean writing and easily able to produce the basic—and not-so-basic—building blocks of an elegant and efficient source code.* Write and compile source code* Link code to create the executable program* Debug and optimize your code* Avoid common mistakesWhatever your destination: tech industry, start-up, or just developing for pleasure at home, this easy-to-follow, informative, and entertaining guide to the C programming language is the fastest and friendliest way to get there!DAN GOOKIN has been writing about technology for more than 30 years—and wrote the very first For Dummies book in 1991! Since then he's written gizmo- and tech innovation-focused bestseller after bestseller, including Word 2019 For Dummies, Android For Dummies, 2nd Edition, and many more! INTRODUCTION 1Why the C Language? 1The C Programming For Dummies Approach 2How This Book Works 3Icons Used in This Book 4Parting Thoughts 5PART 1: THE ABS OF C 7CHAPTER 1: A QUICK START FOR THE IMPATIENT 9What You Need to Program 9Command Prompt Programming 10IDE Programming 11Installing Code::Blocks 12Touring the Code::Blocks workspace 13Your First Program 14Coding at the command prompt 15Building a new Code::Blocks project 16Building and running 18CHAPTER 2: THE PROGRAMMING THING 21The History of Programming 21Reviewing early programming history 21Introducing the C language 22The Programming Process 23Understanding programming 23Writing source code 24Compiling and linking 26Running and testing 27CHAPTER 3: ANATOMY OF C 29Parts of the C Language 29Keywords 30Functions 31Operators 33Variables and values 33Statements and structure 33Comments 35Behold the Typical C Program 37Understanding C program structure 37Setting the main() function 38Returning something to the operating system 39Adding a function 40PART 2: C PROGRAMMING 101 43CHAPTER 4: TRIALS AND ERRORS 45Display Stuff on the Screen 45Displaying a humorous message 45Introducing the puts() function 46Adding more text 47Commenting out a statement 49Goofing up on purpose 49More Text Output Nonsense 51Displaying text with printf() 52Introducing the printf() function 52Understanding the newline 53Employing escape sequences 54Goofing up on purpose again 55CHAPTER 5: VALUES AND SIMPLE MATH 57A Venue for Various Values 57Understanding values 58Displaying values with printf() 59Minding the extra zeros 61The Computer Does the Math 61Doing simple arithmetic 61Reviewing the float-integer thing 63Pretending integers are floats 64CHAPTER 6: A PLACE TO PUT STUFF 67Values That Vary 67Setting up a quick example 68Introducing data types 69Using variables 70Variable Madness! 73Using more-specific data types 73Working with several variables 75Assigning a value upon creation 77Reusing variables 77Constants Always the Same 79Using the same value over and over 79Constants in your code 80Putting constants to use 81CHAPTER 7: INPUT AND OUTPUT 83Character I/O 83Understanding input and output devices 83Fetching characters with getchar() 84Using the putchar() function 86Working with character variables 87Text I/O, but Mostly I 88Storing strings 89Introducing the scanf() function 90Reading a string with scanf() 91Reading values with scanf() 93Using fgets() for text input 94CHAPTER 8: DECISION MAKING 97What If? 97Making a simple comparison 97Introducing the if keyword 99Comparing values in various ways 100Knowing the difference between = and == 102Forgetting where to put the semicolon 103Multiple Decisions 104Making more-complex decisions 104Adding a third option 105Multiple Comparisons with Logic 106Building a logical comparison 106Adding some logical operators 107The Old Switch Case Trick 108Making a multiple-choice selection 108Understanding the switch-case structure 110Taking no breaks 111The Weird ?: Decision Thing 112CHAPTER 9: LOOPS, LOOPS, LOOPS 115A Little Déjà Vu 115The Thrill of for Loops 116Doing something x number of times 116Introducing the for loop 117Counting with the for statement 119Looping letters 120Nesting for loops 121The Joy of the while Loop 123Structuring a while loop 123Using the do while loop 125Loopy Stuff 126Looping endlessly 126Looping endlessly but on purpose 127Breaking out of a loop 128Adding multiple for loop conditions 129Screwing up a loop 130CHAPTER 10: FUN WITH FUNCTIONS 133Anatomy of a Function 133Constructing a function 133Prototyping (or not) 136Functions and Variables 139Using variables in functions 139Sending a value to a function 140Sending multiple values to a function 142Creating functions that return values 143Returning early 145Constants of the Global Kind 147Introducing defined constants 147Putting defined constants to use 148PART 3: BUILD UPON WHAT YOU KNOW 151CHAPTER 11: THE UNAVOIDABLE MATH CHAPTER 153Math Operators from Beyond Infinity 153Incrementing and decrementing 154Prefixing the ++ and -- operators 156Discovering the remainder (modulus) 158Saving time with assignment operators 158Math Function Mania 160Exploring some common math functions 161Suffering through trigonometry 163It’s Totally Random 166Spewing random numbers 166Making the numbers more random 167The Holy Order of Precedence 170Getting the order correct 170Forcing order with parentheses 171CHAPTER 12: GIVE ME ARRAYS 173Behold the Array 173Avoiding arrays 173Understanding arrays 174Initializing an array 177Playing with character arrays (strings) 177Working with empty char arrays 179Sorting arrays 181Multidimensional Arrays 183Making a two-dimensional array 183Going crazy with three-dimensional arrays 186Declaring an initialized multidimensional array 188Arrays and Functions 189Passing an array to a function 189Returning an array from a function 191CHAPTER 13: FUN WITH TEXT 193Character Manipulation Functions 193Introducing the CTYPEs 193Testing characters 195Changing characters 197String Functions Galore 198Reviewing string functions 198Comparing text 199Building strings 200Fun with printf() Formatting 202Formatting floating point 202Setting the output width 204Aligning output 206Gently Down the Stream 207Demonstrating stream input 207Dealing with stream input 208CHAPTER 14: STRUCTURES, THE MULTIVARIABLE 211Hello, Structure 211Introducing the multivariable 211Understanding struct 213Filling a structure 215Making an array of structures 216Weird Structure Concepts 218Putting structures within structures 218Passing a structure to a function 219CHAPTER 15: LIFE AT THE COMMAND PROMPT 221Conjure a Terminal Window 221Starting a terminal window 222Running code in text mode 223Arguments for the main() Function 225Reading the command line 225Understanding main()’s arguments 227Time to Bail 229Quitting the program 229Running another program 230CHAPTER 16: VARIABLE NONSENSE 233Variable Control 233Typecasting into disbelief 233Creating new things with typedef 235Making static variables 238Variables, Variables Everywhere 241Using external variables 241Creating an external structure variable 243Enumerating 245CHAPTER 17: BINARY MANIA 249Binary Basics 249Understanding binary 249Outputting binary values 251Bit Manipulation 253Using the bitwise | operator 253Using bitwise & 256Operating exclusively with XOR 257Understanding the ~ and ! operators 259Shifting binary values 259Explaining the binbin() function 263The Joy of Hex 264PART 4: THE ADVANCED PART 267CHAPTER 18: INTRODUCTION TO POINTERS 269The Biggest Problem with Pointers 269Sizing Up Variable Storage 270Understanding variable storage 270Reading a variable’s size 271Checking a variable’s location 275Reviewing variable storage info 278The Hideously Complex Topic of Pointers 279Introducing the pointer 279Working with pointers 282CHAPTER 19: DEEP INTO POINTER LAND 285Pointers and Arrays 285Getting the address of an array 285Working pointer math in an array 287Substituting pointers for array notation 293Strings Are Pointer-Things 294Using pointers to display a string 294Using a pointer to declare a string 295Building an array of pointers 296Sorting strings 300Pointers in Functions 302Passing a pointer to a function 302Returning a pointer from a function 303CHAPTER 20: MEMORY CHUNKS AND LINKED LISTS 305Give Me Memory! 306Introducing the malloc() function 306Creating string storage 308Using the calloc() function 309Getting more memory 311Freeing memory 313Lists That Link 314Allocating space for a structure 314Creating a linked list 316Editing a linked list 323Saving a linked list 328CHAPTER 21: IT’S ABOUT TIME 329What Time is It? 329Understanding the calendar 330Working with time in C 330Time to Program 331Checking the clock 331Viewing a timestamp 333Slicing through the time string 334Snoozing 336PART 5: AND THE REST OF IT 337CHAPTER 22: PERMANENT STORAGE FUNCTIONS 339Sequential File Access 339Understanding C file access 340Writing text to a file 341Reading text from a file 342Appending text to a file 345Writing binary data 346Reading binary data 348Random File Access 350Writing a structure to a file 351Reading and rewinding 353Finding a specific record 355Saving a linked list to a file 357CHAPTER 23: FILE MANAGEMENT 359Directory Madness 359Calling up a directory 359Gathering more file info 361Separating files from directories 363Exploring the directory tree 364Fun with Files 365Renaming a file 365Copying a file 367Deleting a file 368CHAPTER 24: BEYOND MERE MORTAL PROJECTS 369The Multi-Module Monster 369Linking two source code files 370Sharing variables between modules 372Creating a custom header file 374Other Libraries to Link 378CHAPTER 25: OUT, BUGS! 381Simple Tricks to Resolve Problems 381Documenting the flow 382Talking through your code 382Writing comments for future-you 382The Debugger 383Debugging setup 383Working the debugger 385Setting a breakpoint 387Watching variables 388Improved Error Messages 390PART 6: THE PART OF TENS 393CHAPTER 26: TEN COMMON BOO-BOOS 395Conditional Foul-Ups 395== v = 396Dangerous Loop Semicolons 397Commas in for Loops 398Missing break in a switch Structure 398Missing Parentheses and Curly Brackets 399Don’t Ignore a Warning 399Endless Loops 400scanf() Blunders 401Streaming Input Restrictions 402CHAPTER 27: TEN REMINDERS AND SUGGESTIONS 403Maintain Good Posture 404Use Creative Names 404Write a Function 405Work on Your Code a Little Bit at a Time 405Break Apart Larger Projects into Several Modules 406Know What a Pointer is 406Add Whitespace before Condensing 407Know When if-else Becomes switch-case 407Remember Assignment Operators 408When You Get Stuck, Read Your Code Out Loud 409PART 7: APPENDICES 411APPENDIX A: ASCII CODES 413APPENDIX B: KEYWORDS 419APPENDIX C: OPERATORS 421APPENDIX D: DATA TYPES 423APPENDIX E: ESCAPE SEQUENCES 425APPENDIX F: CONVERSION CHARACTERS 427APPENDIX G: ORDER OF PRECEDENCE 429Index 431
PMP Project Management Professional Exam Study Guide
PREPARE FOR PMP CERTIFICATION EXAM SUCCESS WITH THIS FULLY UPDATED AND COMPREHENSIVE STUDY GUIDEThis study guide serves as a comprehensive resource for those who plan on taking the Project Management Professional (PMP) certification exam administered by PMI. The book helps you prepare for the exam, and it will continue to serve project managers as an on-the-job reference book.The PMP Project Management Professional Exam Study Guide, Tenth Edition is fully updated to include recent changes to the exam. New content covers the integral role that Agile and other iterative practices have in project management. Updates also address the pivotal responsibilities of the project manager and the skill sets required for this position. The study guide was written to reflect the Project Management Process and Procedures found in the revised A Guide to the Project Management Body of Knowledge -- PMBOK® Guide, 6th Edition.Well-known author and expert Kim Heldman, PMP, helps to prepare you for the exam with in-depth coverage of topics, concepts, and key terms. Learn more about the three main domain areas of people, process, and business environment, plus the predictive, agile, and hybrid approaches to project management.This guide is an effective learning aid that will take your understanding to the next level.* Provides comprehensive material, covering the complete exam outline* Lists chapter objectives and offers detailed discussions of these objectives* Reflects differences in project management environments and approaches* Effectively presents real world scenarios, project application sidebars, and chapter review questionsYou’ll also connect to a beneficial, on-the-go resource: an interactive online learning environment and test bank. This environment includes an assessment test, chapter tests, practice exams, electronic flashcards, and a glossary of key terms. A thorough review is the best prep for a challenging certification exam. So, get ready with this essential PMP study guide.ABOUT THE AUTHORKIM HELDMAN, PMP®, is Senior Manager, IT/Chief Information Officer for the Regional Transportation District in Denver, Colorado, where she oversees an IT portfolio of projects that range from those small in scope and budget to multimillion-dollar, multiyear projects. Kim has more than 25 years of experience in IT project management, resource planning, budgeting, project prioritization, and strategic and tactical planning. Most of the real-world scenarios in this Study Guide are based on her actual experiences on the job. Visit her website at www.kimheldman.com. Introduction xixAssessment Test xxixAnswers to Assessment Test xlixCHAPTER 1 BUILDING THE FOUNDATION 1Establishing the Foundation 3Projects vs. Operations 4Project Characteristics 6What Is Project Management? 7Programs 8Portfolios 8Organizational Project Management 11Project Management Offices 11Understanding How Projects Come About 13Needs and Demands and Other Factors That Lead to Project Creation 14Skills Every Good Project Manager Needs 17Technical Project Management Skills 18Business Management and Strategic Skills 18Communication Skills 19Organizational and Planning Skills 19Conflict Management Skills 20Negotiation and Influencing Skills 20Leadership Skills 21Team-Building and Motivating Skills 21Role of a Project Manager 22Understanding Project Management Process Groups 22Determining a Project Methodology or Approach 28Life Cycle Categories 29Predictive Life Cycle Methodology 30Agile Methodologies 33Hybrid 38Project Life Cycles 38Understanding How This Applies to Your Next Project 39Summary 40Exam Essentials 41Review Questions 43CHAPTER 2 ASSESSING PROJECT NEEDS 49Exploring the Project Management Knowledge Areas 51Project Integration Management 53Project Scope Management 56Project Schedule Management 57Project Cost Management 58Project Quality Management 59Project Resource Management 59Project Communications Management 60Project Risk Management 62Project Procurement Management 62Project Stakeholder Management 63Assessing Project Viability 64Using Project Selection Methods 65Assessing Project Needs and Creating the Project Charter 73Enterprise Environmental Factors 78Organizational Process Assets 78Tools and Techniques 81Formalizing and Publishing the Project Charter 82Pulling the Project Charter Together 83Key Stakeholders 84Project Charter Sign-Off 87Maintaining Project Artifacts 88Introducing the Kitchen Heaven Project Case Study 89Understanding How This Applies to Your Next Project 93Summary 94Exam Essentials 96Review Questions 98CHAPTER 3 DELIVERING BUSINESS VALUE 103Understanding Organizational Structures 106Functional Organizations 108Project-Oriented Organizations 112Matrix Organizations 114Other Organizational Structures 118Pmo 118PMO in an Agile Environment 119Project-Based Organizations 121Influences of Organizational Structure on Agile Methodologies 122Identifying Stakeholders 123Discovering Stakeholders 124Stakeholder Analysis 126Categorizing Stakeholders 127Stakeholder Register 134Stakeholders on an Agile Project 135Six Sigma Adaptive Methodology 137Delivering Business Value 140Business Value Network 142Assessing Business Value 143Delivering Business Value Incrementally 145Examining Business Value 147Subdividing Project Tasks 148Understanding How This Applies to Your Next Project 151Summary 152Exam Essentials 153Review Questions 155CHAPTER 4 DEVELOPING THE PROJECT SCOPE 161Developing the Project Management Plan 164Project Complexity 168Data Gathering and Interpersonal Skills 168Documenting the Project Management Plan 169Documenting the Project Management Plan Using a Predictive Methodology 172Plan Scope Management 173Alternatives Analysis 175Documenting the Scope Management Plan 177Documenting the Requirements Management Plan 178Collecting Requirements 178Gathering Documents for the Collect Requirements Process 180Gathering and Documenting Requirements 185Finalizing Requirements 189Defining Scope 192Writing the Project Scope Statement 194Managing the Product Backlog 199Creating the Work Breakdown Structure 201Decomposing the Deliverables 202Constructing the WBS 203Backlog 211Finalizing the WBS 212Understanding How This Applies to Your Next Project 216Summary 218Exam Essentials 219Review Questions 221CHAPTER 5 CREATING THE PROJECT SCHEDULE 229Creating the Schedule Management Plan 232Defining Activities 233Creating the Activity List 234Breaking Down User Stories 235Understanding the Sequence Activities Process 237Precedence Diagramming and Leads and Lags 238Project Management Information System 243Project Schedule Network Diagrams 243Estimating Activity Resources 244How to Estimate Activity Resources 245Documenting Resource Requirements 246Estimating Resources in an Adaptive Methodology 247Estimating Activity Durations 247Project Calendars and Other Considerations 248Estimating Techniques 249Duration Estimates 253Estimating Activity Durations Using Adaptive Methodologies 255Developing the Project Schedule 257Gather Documents to Assist in Developing the Schedule 257Developing the Project Schedule 258Project Schedule and the Schedule Baseline 272Using a Kanban Board and Scrum Board 277Scrum Board 279Combining Techniques 280Agile Release Planning 281Applying Process Groups in an Agile Approach 281Understanding How This Applies to Your Next Project 286Summary 287Exam Essentials 289Review Questions 291CHAPTER 6 DEVELOPING THE PROJECT BUDGET AND ENGAGING STAKEHOLDERS 297Creating the Cost Management Plan 300Performing Plan Cost Management 301Creating the Cost Management Plan 302Estimating Costs 303Estimating Techniques 307Estimating Costs for an Agile Project 308Creating the Cost Estimates 309Establishing the Cost Baseline 311Techniques for Developing the Project Budget 313Developing the Cost Baseline 314Understanding Stakeholders 318Analyzing Stakeholders 319Stakeholder Engagement Plan 320Mentoring Stakeholders 321Engaging Stakeholders in an Adaptive Methodology 322Communicating the Plan 323Planning Communications 324Determining Communication Needs 325Documenting the Communications Management Plan 331Communicating on an Agile Team 333A Closer Look at Adaptive Methodologies 335Other Methodologies 340Combining Methodologies 345Understanding How This Applies to Your Next Project 348Summary 349Exam Essentials 351Review Questions 353CHAPTER 7 IDENTIFYING PROJECT RISKS 359Understanding Risk 361Creating the Risk Management Plan 362Risk Attitude 363Conducting Risk Meetings 364Documenting the Risk Management Plan 366Identifying Potential Risks 372Data Gathering and Data Analysis Techniques for Identifying Risks 374Documenting the Risk Register 378Identifying Risks Using an Agile Approach 380Analyzing Risks Using Qualitative Techniques 381Performing Qualitative Risk Analysis 382Ranking Risks in the Risk Register 390Quantifying Risk 391Performing Quantitative Risk Analysis 392Updating the Risk Report 397Developing a Risk Response Plan 398Strategies for Creating Risk Responses 399Documenting the Risk Responses Plan 404Assessing Risks Using an Agile Approach 407Planning for Project Compliance 409Understanding How This Applies to Your Next Project 413Summary 414Exam Essentials 415Review Questions 417CHAPTER 8 PLANNING AND PROCURING RESOURCES 423Procurement Planning 425Gathering Documents for the Procurement Management Plan 427Source Selection Criteria 433Procurement Management Plan 435Procurements in an Agile Environment 442Developing the Resource Management Plan 445Understanding Enterprise Environmental Factors 446Using Data Representation Techniques for Plan Resource Management 448Documenting the Resource Management Plan 451Resources on an Agile Project 455Quality Planning 456Preparing for Quality 457Developing the Quality Management Plan 458Documenting the Quality Management Plan 466Quality Planning for Agile Projects 468Project Planning Using Agile Methodologies 469Bringing It All Together 470Choosing a Life Cycle Methodology 473Understanding How This Applies to Your Next Project 480Summary 481Exam Essentials 482Review Questions 485CHAPTER 9 DEVELOPING THE PROJECT TEAM 491Directing and Managing Project Work 494Direct and Manage Project Work Inputs 496Project Management Information System 499Deliverables and Work Performance Data 499Directing Project Work on Agile Projects 504Executing Practices for Delivering Project Work 508Acquiring the Project Team and Project Resources 510The Resource Management Plan 510Techniques for Acquiring Resources 511Project Team Assignments 515Developing the Project Team 517Generational Diversity 518Tools and Techniques to Develop the Team 520Developing Agile Teams 536Team Performance Assessments 539Managing Project Teams 543Emotional Intelligence and Other Tools for Managing Teams 543Lessons Learned Managing Teams 545Understanding How This Applies to Your Next Project 547Summary 548Exam Essentials 550Review Questions 552CHAPTER 10 SHARING INFORMATION 559Implementing Risk Responses 563Conducting Procurements 563Evaluating Proposals 564Creating Procurement Agreements 571Conducting Procurements on Agile Projects 573Laying Out Quality Assurance Procedures 574Managing Quality with Data and Audits 575Quality Reports and Test and Evaluation Documents 580Conducting Quality Assessments on an Agile Project 581Managing Project Knowledge 582Knowledge Management 583Information Management 583Managing Project Artifacts 583Managing Project Information 584Communication and Conflict Resolution Skills 585Project Communications and Elements of Communicating 594Communicating on Agile Projects 596Managing Stakeholder Engagement 597Observing and Conversing 598Agile Frameworks 599Agile Methodologies or Frameworks 600Scaling Frameworks 601Understanding How This Applies to Your Next Project 606Summary 607Exam Essentials 608Review Questions 611CHAPTER 11 MEASURING AND CONTROLLING PROJECT PERFORMANCE 619Monitoring and Controlling Project Work 624Forecasting Methods 625Work Performance Reports 626Controlling Procurements 627Procurement Documents and Approved Change Requests 629Monitoring Vendor Performance 631Closing Out Procurements 632Monitoring Communications 636Documents to Help Monitor Communications 637Monitoring Communications with Meetings 637Work Performance Information 639Performing Integrated Change Control 642How Change Occurs 643Change Control Concerns 644Configuration Control 645Change Control System 646Approved Change Requests 650Changes in the Business Environment 651Monitoring Stakeholder Engagement 654Controlling Resources 654Utilizing Control Quality Techniques 655Control Quality Tools and Techniques 656Verifying Deliverables 664Monitoring and Controlling Risk 664Monitor Risks Analysis and Meetings 666Monitor Risks Updates 667Monitoring Project Management Integrations 668Understanding How This Applies to Your Next Project 671Summary 672Exam Essentials 674Review Questions 676CHAPTER 12 CONTROLLING WORK RESULTS AND CLOSING OUT THE PROJECT 683Controlling Cost Changes 686Earned Value Analysis 687Variance Analysis 689Trend Analysis 692To-Complete Performance Index 697Earned Value Measures on Agile Projects 700Monitoring and Controlling Schedule Changes 702Burndown and Burnup Charts 703Performance Reviews 705Changes to the Schedule 706Validating Project Scope 707Controlling Scope 708Measuring Work Results on Agile Projects 710Formulating Project Closeout 713Characteristics of Closing 713Project Endings 714Closing Out the Project 717Administrative Closure Procedures 718Regression Analysis 719Close Project or Phase Final Report 719Closing Out the Procurements 723Closing Out an Agile Project 724Celebrate! 725Releasing Project Team Members 725Balancing Stakeholders’ Interests at Project Close 725Competing Needs 726Dealing with Issues and Problems 727Balancing Constraints 727Professional Responsibility 727Responsibility 728Respect 731Fairness 734Honesty 737Role Delineation Study 739Applying Professional Knowledge 739Project Management Knowledge 740Education Providers 740Industry Knowledge 740Understanding How This Applies to Your Next Project 746Summary 748Exam Essentials 750Review Questions 752APPENDICES 757APPENDIX A ANSWERS TO REVIEW QUESTIONS 759Chapter 1: Building the Foundation 760Chapter 2: Assessing Project Needs 761Chapter 3: Delivering Business Value 763Chapter 4: Developing the Project Scope 765Chapter 5: Creating the Project Schedule 767Chapter 6: Developing the Project Budget and Engaging Stakeholders 768Chapter 7: Identifying Project Risks 770Chapter 8: Planning and Procuring Resources 771Chapter 9: Developing the Project Team 773Chapter 10: Sharing Information 775Chapter 11: Measuring and Controlling Project Performance 776Chapter 12: Controlling Work Results and Closing Out the Project 778APPENDIX B PROCESS INPUTS AND OUTPUTS 781Initiating Processes 782Planning Processes 784Executing Processes 807Monitoring and Controlling Processes 821Closing Processes 836Index 839
PMP Project Management Professional Practice Tests
THE BEST PRACTICE TEST PREPARATION FOR THE PMP EXAM!Boost your confidence through preparation before you take the new Project Management Professional (PMP) exam. The PMP Project Management Professional Practice Tests is the hands-on way to prepare for the exam and achieve your certification.* Access three practice tests* Study questions that cover the three PMP performance domains* Test your knowledge with three additional bonus exams* Practice with a total of 1,000 unique test questions.The Project Management Professional (PMP) certification was developed by the Project Management Institute (PMI). The certification requires extensive project management experience, instructional hours, and successful completion of the certification exam. Well-known PMP authors and experts, Kim Heldman and Vanina Mangano, have written practice questions that will help you get ready for testing as you work toward certification. The test questions provide you with coverage within each of the performance domains: people, process, and business environments.Project managers play a critical role in today’s organizations. When you pass the exam and earn certification, you will gain additional recognition for your skill set and expertise. This confidence-building guide also connects you to an interactive online learning environment and test bank including all the practice exam questions. Get help reaching your professional goals with the right PMP tools!ABOUT THE AUTHORSKIM HELDMAN, MBA, PMP, is the Chief Information Officer for the Regional Transportation District in Denver, Colorado. She has over 25 years of experience in project management and more than 18 years of experience in senior management positions. VANINA MANGANO, PMP, is a project portfolio management leader within Microsoft Corporation and leads a security PMO within the Cloud and AI division. She devotes time to furthering the project management profession through her volunteer work at the Project Management Institute. Introduction xvChapter 1 People (Domain 1.0) 1Chapter 2 Process (Domain 2.0) 37Chapter 3 Business Environment (Domain 3.0) 75Chapter 4 Full-Length Practice Exam 1 99Chapter 5 Full-Length Practice Exam 2 145Chapter 6 Full-Length Practice Exam 3 191Appendix Answers and Explanations 237Chapter 1: People (Domain 1.0) 238Chapter 2: Process (Domain 2.0) 250Chapter 3: Business Environment (Domain 3.0) 264Chapter 4: Full-Length Practice Exam 1 273Chapter 5: Full-Length Practice Exam 2 290Chapter 6: Full-Length Practice Exam 3 307Index 329