Computer und IT
Mastering QuickBooks 2024
In today's competitive business landscape, efficient financial management is crucial for success. QuickBooks Online has emerged as the go-to accounting software for small businesses, offering a user-friendly platform to manage finances, track expenses, and gain valuable insights. This new edition will help you use QuickBooks Online from scratch and customize it to suit your small business needs. Written by accounting expert Crystalynn Shelton, it takes you on an in-depth journey, from setting up your account to mastering advanced features and customizations.This book empowers you to conquer the latest features of QuickBooks Online 2024, overcome challenges encountered during migration from desktop to online; plan cash flow, profits, revenue with precision; and streamline billing, expense tracking, and financial reporting. As you progress, you’ll learn to manage sales tax, including how to set up, collect, track, pay, and report sales tax payments. You’ll explore how to export reports to Google Sheets, use the custom chart builder, import budgets, and perform smart reporting with with using data sync with Excel. You'll learn how to tailor QuickBooks Online to your specific business needs. By the end of the book, you’ll master the art of QuickBooks Online and take control of your business finances
ASP.NET 8 Best Practices
As .NET 8 emerges as a long-term support (LTS) release designed to assist developers in migrating legacy applications to ASP.NET, this best practices book becomes your go-to guide for exploring the intricacies of ASP.NET and advancing your skills as a software engineer, full-stack developer, or web architect.This book will lead you through project structure and layout, setting up robust source control, and employing pipelines for automated project building. You’ll focus on ASP.NET components and gain insights into their commonalities. As you advance, you’ll cover middleware best practices, learning how to handle frontend tasks involving JavaScript, CSS, and image files. You’ll examine the best approach for working with Blazor applications and familiarize yourself with controllers and Razor Pages. Additionally, you’ll discover how to leverage Entity Framework Core and exception handling in your application. In the later chapters, you’ll master components that enhance project organization, extensibility, security, and performance.By the end of this book, you’ll have acquired a comprehensive understanding of industry-proven concepts and best practices to build real-world ASP.NET 8.0 websites confidently.
Redis Stack for Application Modernization
In modern applications, efficiency in both operational and analytical aspects is paramount, demanding predictable performance across varied workloads. This book introduces you to Redis Stack, an extension of Redis and guides you through its broad data modeling capabilities. With practical examples of real-time queries and searches, you’ll explore Redis Stack’s new approach to providing a rich data modeling experience all within the same database server.You’ll learn how to model and search your data in the JSON and hash data types and work with features such as vector similarity search, which adds semantic search capabilities to your applications to search for similar texts, images, or audio files. The book also shows you how to use the probabilistic Bloom filters to efficiently resolve recurrent big data problems. As you uncover the strengths of Redis Stack as a data platform, you’ll explore use cases for managing database events and leveraging introduce stream processing features. Finally, you’ll see how Redis Stack seamlessly integrates into microservices architectures, completing the picture.By the end of this book, you’ll be equipped with best practices for administering and managing the server, ensuring scalability, high availability, data integrity, stored functions, and more.
DevOps for Databases
In today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; site reliability engineers (SREs) and DevOps engineers are database experts as well. This blurring of the lines has led to increased responsibilities, making members of high-performing DevOps teams responsible for end-to-end ownership. This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps.You’ll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. As you advance, the chapters will teach you about design, implementation, testing, and operations using practical examples, as well as common design patterns, combining them with tooling, technology, and strategies for different types of data-persistent technologies. You’ll also learn how to create complex end-to-end implementation, deployment, and cloud infrastructure strategies defined as code.By the end of this book, you’ll be equipped with the knowledge and tools to design, build, and operate complex systems efficiently.
Konzeption und Umsetzung automatisierter Softwaretests
Für die erfolgreiche Umsetzung von Testautomatisierung im Unternehmen wird konkrete Hilfestellung geboten. Das Buch geht auf unterschiedliche Formen und Ausprägungen der Testautomatisierung, ihre Chancen und Risiken und ihren Einsatz in der betrieblichen Praxis ein. Dabei werden sowohl die Auswirkungen auf andere Bereiche (z.B. Anforderungsmanagement, Releasemanagement, Entwicklung) als auch aktuelle Trends beleuchtet. Das Buch enthält weiterhin eine Wirtschaftlichkeitsberechnung zur Einführung von Testautomatisierung, Erläuterungen zu möglichen Metriken als auch die Bewertung der Testautomatisierung mittels Prozessreifemodellen.FRANK WITTE verfügt über langjährige Erfahrung im Softwaretest in unterschiedlichen Unternehmen und Branchen. Dabei kommt es immer wieder vor, dass Prozesse zur Durchführung automatisierter Tests optimiert werden müssen und Testfälle zu automatisieren sind. Er bemerkt dabei immer wieder, dass Zielvorgaben ungenau definiert werden, unrealistische Erwartungen formuliert werden, das Thema zu stark einseitig auf die Entwicklung fokussiert ist und zu wenig im betrieblichen Kontext betrachtet wird.Bedeutung von Automatisierung.- Ziele der Testautomatisierung.- 3 Konzeption der Testautomatisierung und Schritte zur Umsetzung.-Formen der Testautomatisierung.- Automatisierung der Testdokumentation und Testfallgenerierung.- Automatisierung der Testdurchführung.- Automatisierung des Testreportings.- Automatisierung des Fehlermanagements.- Wirtschaftlichkeitsberechnung zur Testautomatisierung.- Arbeitsvorbereitung, Priorisierung und Umsetzung der Testautomatisierung.- Auswahl und Evaluierung geeigneter Tools und Entscheidungsmatrix.- Schritte zur Umsetzung der Testautomatisierung.- Einsatzgebiete für Testautomatisierung.- Reifegrad der Testautomatisierung.- Testorganisation und Testautomatisierung.- Automatisierung in unterschiedlichen Teststufen (Modultest, Integrationstest, Systemtest).- Testautomatisierung in mehreren Projekten.- Releasemanagement und Testautomatisierung.- Metriken für die Testautomatisierung.- Prozessreifemodelle und Reifegrad der Testautomatisierung.- Automatisierungsframeworks.- Rückwirkung der Testautomatisierung auf das Anforderungsmanagement.- Quantität und Qualität automatisierter Testfälle (Testeffektivität und Testeffizienz).- Keyword-Driven Testing und Testautomatisierung.- Testumgebungsmanagement und Testautomatisierung.- Agile Entwicklung, continuos delivery und Testautomatisierung.- Testgetriebene Entwicklung und Testautomatisierung.- Testdaten und Testdatengetriebene Automatisierung.- Modellbasiertes Testen.- Testautomatisierung und die Zukunft des Testens.- Grenzen der Testautomatisierung.
Implementing CI/CD Using Azure Pipelines
Continuous integration and continuous delivery (CI/CD) are ubiquitous concepts in modern development. Azure Pipelines is one of the most popular services that you can utilize for CI/CD, and this book shows you how it works by taking you through the process of building and automating CI/CD systems using Azure Pipelines and YAML, simplifying integration with Azure resources and reducing human error.You’ll begin by getting an overview of Azure Pipelines and why you should use it. Next, the book helps you get to grips with build and release pipelines, and then builds upon this by introducing the extensive power of YAML syntax, which you can use to implement and configure any task you can think of. As you advance, you’ll discover how to integrate Infrastructure as Code tools, such as Terraform, and perform code analysis with SonarQube. In the concluding chapters, you’ll delve into real-life scenarios and hands-on implementation tasks with Microsoft Azure services, AWS, and cross-mobile application with Flutter, Google Firebase, and more.By the end of this book, you’ll be able to design and build CI/CD systems using Azure Pipelines with consummate ease, write code using YAML, and configure any task that comes to mind.
Machine Learning Security with Azure
With AI and machine learning (ML) models gaining popularity and integrating into more and more applications, it is more important than ever to ensure that models perform accurately and are not vulnerable to cyberattacks. However, attacks can target your data or environment as well. This book will help you identify security risks and apply the best practices to protect your assets on multiple levels, from data and models to applications and infrastructure.This book begins by introducing what some common ML attacks are, how to identify your risks, and the industry standards and responsible AI principles you need to follow to gain an understanding of what you need to protect. Next, you will learn about the best practices to secure your assets. Starting with data protection and governance and then moving on to protect your infrastructure, you will gain insights into managing and securing your Azure ML workspace. This book introduces DevOps practices to automate your tasks securely and explains how to recover from ML attacks. Finally, you will learn how to set a security benchmark for your scenario and best practices to maintain and monitor your security posture.By the end of this book, you’ll be able to implement best practices to assess and secure your ML assets throughout the Azure Machine Learning life cycle.
Analyzing Websites
From a cluster of interconnected HTML pages to online service platforms, websites are constantly changing in form and function. These transformations have led, on the one hand, to human and social sciences renewing or inventing analytical methodologies; and on the other hand, to a reconsideration of the practices of non-specialists and digital professionals.The Web factory is equally included on the agenda of communication training, according to an alternative approach that is complementary to the one that has been implemented for computer scientists.From these two perspectives and drawing upon several case studies, Analyzing Websites presents epistemological and methodological contributions from researchers in Information and Communication Sciences exploring websites as sociotechnical, semi-discursive and communicational devices. This study covers website design as well as their integration into the digital strategies of organizations in the public, associative and private sectors.LUC MASSOU is a professor in Information and Communication Sciences at Université de Lorraine, France, and a member of CREM.PATRICK MPONDO-DICKA is a lecturer in Information and Communication Sciences at Université Toulouse Jean-Jaurès, France, and a member of LERASS.NATHALIE PINÈDE is a professor in Information and Communication Sciences at Université Bordeaux Montaigne, France, and a member of MICA.
Modern Software Testing Techniques
Many books have been written about software testing, but most of them discuss the general framework of testing from a traditional perspective. Unfortunately, traditional test design techniques are often ineffective and unreliable for revealing the various kinds of faults that may occur. This book introduces three new software testing techniques: Two-Phase Model-Based Testing, the Action-State Testing, and the General Predicate Testing, all of which work best when applied with efficient fault revealing capabilities.You’ll start with a short recap of software testing, focusing on why risk analysis is obligatory, how to classify bugs practically, and how fault-based testing can be used for improving test design. You’ll then see how action-state testing merges the benefits of state transition testing and use case testing into a unified approach. Moving on you’ll look at general predicate testing and how it serves as an extension of boundary value analysis, encompassing more complex predicates.Two-phase model-based testing represents an advanced approach where the model does not necessarily need to be machine-readable; human readability suffices. The first phase involves a high-level model from which abstract tests are generated. Upon manual execution of these tests, the test code is generated. Rather than calculating output values, they are merely checked for conformity. The last part of this book contains a chapter on how developers and testers can help each other and work as a collaborative team.WHAT YOU'LL LEARN* Apply efficient test design techniques for detecting domain faults* Work with modeling techniques that combine all the advantages of state transition testing and uses case testing* Grasp the two-phase model-based testing technique * Use test design efficiently to find almost all the bugs in an applicationWHO THIS BOOK IS FORSoftware developers, QA engineers, and, business analystsISTVÁN FORGÁCS, PH.D., was originally a researcher at the Hungarian Academy of Sciences. He has had more than 25 scientific articles published in leading international journals and conference proceedings. He is the co-author of three books. His research interests include test design, test automation, agile testing, model-based testing, debugging, code comprehension, and static and dynamic analysis. He left his academic life in 1998 to be a founder of Y2KO, the startup company that offered an efficient solution to the Y2K project. He is the founder and Chief Executive Officer of 4Test-Plus and is a former CEO of 4D Soft. He is a member of the TA WG and a former member of the Agile WG of ISTQB. He is the creator and key contributor to the two-phase model-based testing tool harmony.ATTILA KOVÁCS holds the position of a full professor at the Faculty of Informatics at Eötvös Loránd University, Budapest. His professional expertise lies in the fields of mathematics, software engineering, and computer science. He serves as a project leader for numerous research and development projects and currently leads the Software and Data Intensive Services Competence Center at the University. In addition to his academic contributions, he is also a co-author of the book "Practical Test Design" and acts as a trainer for ISTQB (International Software Testing Qualifications Board) and IREB (International Requirements Engineering Board). Furthermore, he is the founder of the Hungarian Testing BoardMODERN SOFTWARE TESTING TECHNIQUESChapter 1: Software testing basicsChapter 2: Test design automation by model-based testingChapter 3: Domain testingChapter 4: Developers and testers should constitute a successful teamChapter 5: Conclusion
Architecting a Modern Data Warehouse for Large Enterprises
Design and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution.The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence.After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines.WHAT YOU WILL LEARN* Understand the core concepts underlying modern data warehouses* Design and build cloud-native data warehousesGain a practical approach to architecting and building data warehouses on Azure and AWS* Implement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and Lakehouse* Process data through pandas and evaluate your model’s performance using metrics such as F1-score, precision, and recall* Apply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applicationsWHO THIS BOOK IS FORExperienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWSANJANI KUMAR is the Managing Director and Founder of MultiCloud4u, a rapidly growing startup that helps clients and partners seamlessly implement data-driven solutions for their digital businesses. With a background in computer science, Anjani began his career researching and developing multi-lingual systems that were powered by distributed processing and data synchronization across remote regions of India. He later collaborated with companies such as Mahindra Satyam, Microsoft, RBS, and Sapient to create data warehouses and other data-based systems that could handle high-volume data processing and transformation.ABHISHEK MISHRA is a Cloud Architect at a leading organization and has more than a decade and a half of experience building and architecting software solutions for large and complex enterprises across the globe. He has deep expertise in enabling digital transformations for his customers using the cloud and artificial intelligence.SANJEEV KUMAR heads up a global data and analytics practice at the leading and oldest multinational shoe company with headquarters in Switzerland. He has 19+ years of experience working for organizations modeling modern data solutions in multiple industries. He has consulted with some of the top multinational firms and enabled digital transformation for large enterprises using modern data warehouses in the cloud. He is an expert in multiple fields of modern data management and execution including data strategy, automation, data governance, architecture, metadata, modeling, business intelligence, data management, and analytics.Chapter 1: Introduction.- Chapter 2: Modern Data Warehouses.- Chapter 3: Data Lake, Lake House, and Delta Lake.- Chapter 4: Data Mesh.- Chapter 5: Data Orchestration Techniques.- Chapter 6: Data Democratization, Governance, and Security.- Chapter 7: Business Intelligence.
Developing Kaggle Notebooks
Developing Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this fi eld and rise to the top of the Kaggle Notebooks tier. The book is structured as a sevenstep data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques.For each topic, we provide one or more notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature, introduced progressively, initially as part of a notebook, and later extracted for use across future notebooks to enhance code reusability on Kaggle. It aims to make the notebooks' code more structured, easy to maintain, and readable.Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualifi cation to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refi ne your model and prepare for submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.
Reverse Engineering with Terraform
This book is a comprehensive guide for employing Terraform in infrastructure as code automation, and its application to infrastructure operations.Reverse Engineering with Terraform begins with an introduction to Terraform’s core functionalities, including state files, configuration files, and providers, followed by a deep dive into the tool. You’ll then learn how to pinpoint problems with Terraform automation and how reverse engineering can help you resolve them. Drilling down, authors Sumit Bhatia and Chetan Gabhane walk you through the various steps in reverse engineering with an eye towards more effective Terraform integration with preexisting and legacy IT infrastructure.Using a real-world reverse engineering example, they demonstrate how to import a preexisting resource into your infrastructure, which can help you develop an automatable and scalable method for Terrraform adoption. You’ll also learn how to create reusable, shareable components to streamline infrastructure code and foster collaboration within teams, and advanced techniques for using Terraform to optimize infrastructure provisioning, configuration, and management.Filled with real-world case studies, tips and tricks, and best practices, this book will leave you with a thorough understanding of the infrastructure as code paradigm, and how to leverage Terraform automation with legacy as well as modern IT infrastructure.WHAT YOU WILL LEARN* Understand Terraform and its infrastructure automation capabilities* Explore how Terraform can be used with other platforms like AWS, Azure and VMware* Master the basic concepts of reverse engineering for legacy infrastructure entities* Enable Terraform in legacy IT environments through reverse engineeringWHO THIS BOOK IS FORIT architects, admins, technical managers, and infrastructure solution experts. Minimal knowledge of Python programming is the only prerequisite.SUMIT BHATIA is a global infrastructure solutions architect with a focus on addressing difficult business challenges and encouraging green IT through intelligent hybrid cloud strategies, advanced automation and cost savings in IT operations to support the global oil and gas industry. With over 15 years in the tech industry, Sumit has a deep knowledge of Python automation, DevOps, cloud, virtualization, storage and backup solutions engineering.CHETAN GABHANE is a seasoned expert with over 15 years of experience as a solution architect and senior technical consultant in the field of hybrid and multi-cloud computing. His major focus is on developing resilient and efficient hybrid cloud architectures that combine the best of on-premises and cloud-based technologies. Chetan has extensive experience adopting cutting-edge DevOps approaches to improve the agility and scalability of cloud infrastructures. Chetan has actively contributed to the creation of cloud solutions seference architecture, white papers, and tech blogs. His commitment to sharing information and best practices has assisted numerous professionals in navigating the complex world of cloud computing with an unwavering dedication to excellence. 1: Terraform Infrastructure as Code.- 2: Deep Dive into Terraform.- 3: Reverse Engineering Basics.- 4: Terraform and Reverse Engineering.- 5: Debugging for import issues.- 6: Lifecycle Management.- 7: Other importing options with Terraform.
Technologieinduzierte Entwicklung neuer Wertversprechen im Software-intensive Business
Die Digitalisierung der meisten Branchen spiegelt sich in einem wachsenden Anteil der Software an der Gesamtwertschöpfung wider. Unternehmen eröffnen sich dadurch neue Möglichkeiten für technologische Innovationen. Gleichzeitig stehen sie aber vor der ständigen Herausforderung, diese Innovationen in Produkte zu überführen, die für den Kunden wertstiftend sind. Dieser Problemstellung widmeten sich bereits eine Reihe an Methoden zur Produkt- und Geschäftsmodellinnovation, die Überführung der hier gewonnenen Erkenntnisse in die konkrete Produktgestaltung bleibt jedoch eine Herausforderung. Genau hier setzt diese Arbeit an, indem sie die methodische Vorgehensweise „Value Proposition Deployment“ vorschlägt, mit der Unternehmen auf Basis technologischer Innovationen neue Wertversprechen entwickeln können. Hierzu verbindet das Value Proposition Deployment Erkenntnisse des Innovationsmanagements mit Methoden der konstruktiven Qualitätssicherung und stellt somit eine Brücke zwischen Innovations- und Qualitätsmanagement dar. Die auf Basis von 15 praxisrelevanten Gestaltungsanforderungen entwickelte Methode wird detailliert erläutert und anhand praxisnaher Fallbeispiele beschrieben. Problemstellung.- Theoretischer Bezugsrahmen.- Stand der Forschung.- Analyse bestehender Ansätze im Kontext des Innovationsmanagements.- Analyse bestehender Quality Function Deployment-Ansätze.- Gestaltung des Value Proposition Deployments.- Evaluation des Value Proposition Deployments.- Schlussbetrachtung
Selenium WebDriver Recipes in C#
Solve your Selenium WebDriver problems with this quick guide to automated testing of web applications with Selenium WebDriver in C#. This third editioncontains hundreds of solutions to real-world problems, with clear explanations and ready-to-run Selenium test scripts that you can use in your own projects.Updated to Selenium version 4, this revision includes Visual Studio Code set up, additional recipes, and new chapters on Selenium DevTools and continuous testing. You'll see how to use Selenium WebDriver for select lists, navigation, assertions, frames, file upload and pop-up dialogs. You'll also learn how to locate web elements and test functions for hyperlinks, buttons, TextFields and TextAreas, radio buttons, CheckBoxes, and more.WHAT YOU'LL LEARN* Debug test scripts and test data * Work with Selenium Remote Control Server* Manage and deal with browser profiles and capabilities* Monitor tests for advanced user interactions and experiences (UX)WHO THIS BOOK IS FORExperienced .NET and C# Windows application programmers/developers.Courtney Zhan is a software development engineer at Amazon Australia. She is passionate about programming, End-to-End Test Automation, Continuous Testing and Graphic Design. She shares tips and guides on Test Automation & Continuous Testing weekly on Medium at courtneyzhan.medium.com.Zhimin Zhan is the founder and CTO of AgileWay Pty Ltd, Australia. As an advisor and coach, he helps organizations implement Continuous Testing with open technologies such as Selenium WebDriver and Appium. Zhimin is the creator of TestWise Testing IDE and International Award-Winning BuildWise CT Server and an author.1. Introduction2. Locating Web Elements3. Hyperlink4. Button5. TextField and TextArea6. Radio Button7. Check Box8. Select List9. Navigation and Browser10. Assertion11. Frames12. Testing AJAX13. File Upload and Pop-up Dialogs14. Debugging Test Scripts15. Test Data16. Browser Profile and Capabilities17. Advanced User Interactions18. HTML5 and JavaScript19. WYSIWYG HTML Editors20. Leverage Programming21. Optimization22. Gotchas23. Selenium 424. Selenium DevTools25. Remote Control Server26. Continuous Testing27. Case Studies28. Afterword29. Resources
Digital Transformation Success
Discover the key to digital transformation success in this comprehensive guide. In today's rapidly advancing technological landscape, companies are promised innovative business models, enhanced customer experiences, and productivity improvements through digital initiatives. However, it's disheartening that 70% of these endeavors fail to meet their goals, resulting in lost investments and frustrated stakeholders.The root cause of these failures often lies in the lack of alignment across organizations. Achieving alignment is crucial, encompassing both vertical alignment – which involves aligning goals from the CEO down to even low-level single contributors – and horizontal alignment – which enables seamless collaboration across functional areas. To address this challenge, the book introduces Process Inventory, a powerful framework that not only establishes a common language but also aligns resources throughout the organization, driving a new level of operating efficiency and agility necessary to thrive in this digital era.This comprehensive guide delves beyond guiding principles, providing readers with detailed methods, modeling techniques, operating models, and real-world case studies. By leveraging the Process Inventory framework, organizations can enhance existing disciplines like Change Management, Risk Management, and Operational Excellence, enabling effective digital technology design and propelling them into the forefront of the digital age.WHAT YOU'LL LEARN* The transformative power of the Process Inventory framework to drive Digital Transformation success by aligning resources, organizational goals, and efforts, leading to unparalleled agility. * How the Process Inventory serves as the connective tissue that redefines how an organization operates, enabling operational excellence and enhanced efficiency.How Process Inventory directly supports the seamless implementation of cutting-edge digital technologies like machine learning, intelligent process automation, and microservices.* Key best practices, including building and maintaining models, engaging stakeholders, and attaining maximum value from this framework. * How Process Inventory seamlessly integrates with and elevates existing disciplines such as Process Modeling, Enterprise Architecture, Risk Management, Lean/Six Sigma Process Improvement, Change Management, and Business Architecture. WHO THIS BOOK IS FOR* Forward-thinking Business Executives committed to achieving their digital transformation agenda* Visionary Leaders, including COOs and CIOs, striving to elevate their organization's efficiency and effectiveness* Individual practitioners and teams dedicated to driving transformation strategies and techniques within their organization* Process Center of Excellence personnel entrusted with mapping out and managing processes for their organization's successPart I– Foundations for Success.- Chapter 1: The Key to Digital Transformation.- Chapter 2: Overview of the Process Inventory Framework.- Chapter 3: Defining the Digital Transformation Program.= Part II: Applying Process Inventory to Transform Ways of Working.- Chapter 4: Transform the Change Process.- Chapter 5: The Technology Path to Digitization.- Chapter 6: Drive Enterprise Efficiency.- Chapter 7: Fortify Risk Management.- Part III – Implementing the Process Inventory Framework.- Chapter 8: Operating Model and Accountability Framework.- Chapter 9: Creation Process and Modeling Rules.- Chapter 10: Tooling and Data Infrastructure. References.
CC Certified in Cybersecurity Study Guide
PREPARE FOR THE ISC2 CERTIFIED IN CYBERSECURITY EXAM, AS WELL AS A NEW CAREER IN CYBERSECURITY, WITH THIS EFFECTIVE STUDY GUIDE. COMPLETE WITH FULL COLOR ILLUSTRATIONS!In Certified in Cybersecurity Study Guide, veteran IT and cybersecurity educator Mike Chapple delivers a one-stop resource for anyone planning to pursue the ISC2 Certified in Cybersecurity credential, as well as those getting ready to take on a challenging and rewarding new career in cybersecurity. The author walks you through the info you’ll need to succeed on both the exam and in your first day at a cybersecurity-focused job, using full-color illustrations to highlight and emphasize the concepts discussed inside.Complete with an online practice test, this book comprehensively covers every competency and domain tested by the new exam, including security principles, business continuity, disaster recovery, incident response, access control concepts, network security, and security operations. You’ll also find:* Efficient and lean content, ensuring you get up-to-speed as quickly as possible* Bite-sized chapters that break down essential topics into manageable and accessible lessons* Complimentary online access to Sybex’ celebrated online learning environment, which comes with practice questions, a complete glossary of common industry terminology, and moreA clear and effective pathway to the Certified in Cybersecurity credential, as well as a fresh career in cybersecurity, the Certified in Cybersecurity Study Guide offers the foundational knowledge, skills, and abilities you need to get started in an exciting and rewarding career.ABOUT THE AUTHORMIKE CHAPPLE, PHD, CIPM, CIPP/US, CISSP, is a teaching professor in the IT, Analytics, and Operations Department at the University of Notre Dame’s Mendoza College of Business. He is the author of several bestselling information technology certification guides and has over two decades’ experience in higher education, the private sector, and government IT. Introduction xviiPART I DOMAIN 1: SECURITY PRINCIPLES 1CHAPTER 1 CONFIDENTIALITY, INTEGRITY, AVAILABILITY, AND NON-REPUDIATION 3The CIA Triad 4Non-repudiation 7CHAPTER 2 AUTHENTICATION AND AUTHORIZATION 11Access Control Process 11Password Policies 13Authentication Factors 16CHAPTER 3 PRIVACY 23Privacy 23Privacy Management Framework 25CHAPTER 4 RISK MANAGEMENT 35Risk Types 35Risk Identification and Assessment 37Risk Treatment Strategies 39Risk Profile and Tolerance 40CHAPTER 5 SECURITY CONTROLS 45What Are Security Controls? 45Categorizing Security Controls 46CHAPTER 6 ETHICS 51Corporate Ethics Codes 51ISC2 Code of Ethics 52Ethics Complaint Procedure 54CHAPTER 7 SECURITY GOVERNANCE PROCESSES 59Security Policies and Procedures 59Laws and Regulations 61Chapple213832_ftoc.indd 13 22-11-2023 12:53:06PART II DOMAIN 2: BUSINESS CONTINUITY (BC), DISASTER RECOVERY (DR) & INCIDENT RESPONSE (IR) CONCEPTS 65CHAPTER 8 BUSINESS CONTINUITY 67Business Continuity Planning 67Business Continuity Controls 69High Availability and Fault Tolerance 71CHAPTER 9 DISASTER RECOVERY 79Disaster Recovery Planning 79Backups 81Disaster Recovery Sites 83Testing Disaster Recovery Plans 85CHAPTER 10 INCIDENT RESPONSE 89Creating an Incident Response Program 89Building an Incident Response Team 91Incident Communications Plan 92Incident Identification and Response 93PART III DOMAIN 3: ACCESS CONTROLS CONCEPTS 99CHAPTER 11 PHYSICAL ACCESS CONTROLS 101Physical Facilities 101Designing for Security 104Visitor Management 106Physical Security Personnel 106CHAPTER 12 LOGICAL ACCESS CONTROLS 111Authorization 111Account Types 114Non- repudiation 115PART IV DOMAIN 4: NETWORK SECURITY 119CHAPTER 13 COMPUTER NETWORKING 121Network Types 121TCP/IP Networking 122IP Addressing 124Network Ports and Applications 128Securing Wi- Fi Networks 129CHAPTER 14 NETWORK THREATS AND ATTACKS 137Malware 137Eavesdropping Attacks 139Denial- of- Service Attacks 140Side- Channel Attacks 142CHAPTER 15 THREAT IDENTIFICATION AND PREVENTION 145Antivirus Software 145Intrusion Detection and Prevention 146Firewalls 148Vulnerability Scanning 149CHAPTER 16 NETWORK SECURITY INFRASTRUCTURE 155Data Center Protection 156Network Security Zones 158Switches, WAPs, and Routers 159Network Segmentation 161Virtual Private Networks 162Network Access Control 163Internet of Things 165CHAPTER 17 CLOUD COMPUTING 169Cloud Computing 169Cloud Deployment Models 171Cloud Service Categories 172Security and the Shared Responsibility Model 174Automation and Orchestration 174Vendor Relationships 175PART V DOMAIN 5: SECURITY OPERATIONS 179CHAPTER 18 ENCRYPTION 181Cryptography 181Encryption Algorithms 183Uses of Encryption 186Hash Functions 187CHAPTER 19 DATA HANDLING 193Data Life Cycle 193Data Classification 196CHAPTER 20 LOGGING AND MONITORING 201Logging 201Log Monitoring 202CHAPTER 21 CONFIGURATION MANAGEMENT 207Configuration Management 207Configuration Vulnerabilities 208CHAPTER 22 BEST PRACTICE SECURITY POLICIES 213Acceptable Use Policy 213Data Handling Policy 214Password Policy 214Bring Your Own Device Policy 214Privacy Policy 214Change Management Policy 215CHAPTER 23 SECURITY AWARENESS TRAINING 219Social Engineering 219Security Education 221Index 227
How JavaScript Works
JavaScript is a complicated language with a lot of misinformation surrounding how it works. This book provides a comprehensive introduction to JavaScript, from how it works at a technical level to how it is used to create websites and applications. Everything you need to know to start a career in JavaScript development is covered here.How JavaScript Works begins with a practical introduction of the basics before moving into the technical underpinnings of JavaScript, detailing everything you need to know, including variables, memory storage, functions, classes, types, maps, sets and APIs. Once you’ve fully absorbed these key topics. author Jonathan Simpson will show you how to put them into practice, demonstrating how they are employed for modern web development. You’ll learn how to use JavaScript with HTML and CSS to construct web pages and applications, how to change CSS with JavaScript, and how to utilize Fetch and asynchronous operations.Upon completing this book, you will have the foundational knowledge necessary to continue your journey to becoming a professional JavaScript developer.WHAT YOU WILL LEARN:* Gain insight into the technical essentials of JavaScript and how it works* Learn advanced concepts and such as memory storage and how classes, functions and objects actually work* Explore the basic mathematical underpinnings of JavaScript* Understand how JavaScript is used to manipulate HTML and CSS* Obtain the tools and knowledge needed to start your career in web developmentWHO THIS BOOK IS FOR:Anyone interested in a web development career, as well as those who may have already embarked on their careers, but who want to deepen their technical understanding of JavaScript and how it works.JONATHON SIMPSON studied at UCL and is a Product Owner at Revolut and has more than than 12 years of web development experience working on a wide range of products and services. Jonathon also owns and operates a popular software engineering blog focusing on JavaScript.Ch1 Introduction to JavaScript.- Ch2 Variables, Comments, and Logical Statements.- Ch3 Introduction to Objects, Arrays.- Ch4 Loops and Iterables.- Ch5 References, Values, and Memory Management.- Ch6 Functions and Classes.- Ch7 Types.- Ch8 Manipulating and Interacting with HTML.- Ch9 Maps and Sets.- Ch10 Fetching Data, APIs and Promises.- Ch11 Errors and the Console.- Ch12 Maps and Sets.- Ch13 Websockets.- Conclusion.- Appendix.
Visual Studio Extensibility Development
Master Visual Studio extensibility for an enhanced Visual Studio IDE experience. This book is a comprehensive guide that covers every facet of developing, debugging, and publishing extensions that amplify your productivity, tooling, and analysis within the Visual Studio IDE.This new edition is updated for Visual Studio 2022, which is the latest and greatest version of Visual Studio. Since the last edition, Artificial Intelligence (AI) has taken the world by the storm. This revised edition demonstrates how AI can take your extensions to unparalleled heights using ChatGPT.The book begins with an introduction to the essential concepts of Visual Studio, including data structures and design patterns before diving into the fundamentals of the Visual Studio extensibility model. Here you will learn the anatomy of a VSIX and how extensions are discovered and loaded in Visual Studio. Next, you will explore the extensibility model and see how various extensions, such as menus, commands, and tool windows can be plugged into Visual Studio. Moving forward, you’ll cover developing VS extensions and how they can be made configurable by customizing the UI and options page, and you’ll learn to develop a VS extension that leverages ChatGPT. Next, you will see how to extend the most often used component of Visual Studio, the code editor, before creating your own sample code snippets and templates. This is followed by a demonstration of how to deploy extensions using continuous integration (CI). Finally, you will learn tips and tricks for Visual Studio and its extensibility, along with a few highly valuable extensions.After reading Visual Studio Extensibility Development, you will be able to develop, debug, customize, and deploy extensions in Visual Studio IDE.WHAT YOU WILL LEARN* Master the art of personalizing extensions through the creation of dedicated tools option pages* Extend commands, editor, and tool window of Visual Studio* Seamlessly integrate artificial intelligence in Visual Studio extensions* Create project templates, item templates, and code snippets to streamline your development process* Enhance IntelliSense for your custom project needs* Publish your extension in the Visual Studio marketplaceWHO THIS BOOK IS FORDevelopers, Programmers, Engineers, Architects, Instructors, Innovators, Students and Technology enthusiasts leveraging Visual Studio IDE. RISHABH VERMA is a Microsoft certified professional and works at Google India as a Senior Developer Relations Engineer working on Google Cloud C# SDK development. An electronic engineer by education, he has 15+ years of hardcore development experience on the .NET technology stack. He is passionate about creating tools, Visual Studio extensions, and utilities to increase developer productivity. His interests are .NET Compiler Platform (Roslyn), Visual Studio extensibility, code generation and .NET Core. He is a member of .NET foundation, and has authored books on .NET Core 2.0 and .NET Core 3.1 prior to this title.
Getting Started with Containers in Azure
Master the skills needed to deploy container services on Microsoft Azure using Terraform. This book will take you through the entire process of designing, deploying, and managing container services such as Azure Kubernetes Service (AKS), Azure Container Instances (ACI), Azure Container Registry (ACR), and Azure Web App for Containers.In this fully updated second edition, Author Shimon Ifrah demonstrates how to use Terraform, PowerShell and Azure CLI to provision and manage container services in Azure. As you’ll be using Terraform as the main tool for deployment, a basic knowledge of Terraform is a prerequisite. In addition, you will see how Azure DevOps services can be used to deploy infrastructure and container services with Terraform using Azure Pipelines without using the Azure Portal. The book concludes with a tutorial on how to use Azure Defender for Cloud to safeguard Terraform and infrastructure-as-code against malicious threats, so you can deliver secure applications.Upon completing this book, you will have a thorough understanding of how to use Terraform to deploy secure and efficient cloud applications on Azure.WHAT YOU WILL LEARN* Leverage Terraform for the deployment of containerized services* Understand Azure DevOps Pipelines and Repos to deploy infrastructure and container services.* Safeguard your infrastructure-as-code and detect vulnerabilities using Azure Defender for the cloudWHO THIS BOOK IS FORAzure administrators, developers, and architects who want to get started and learn more about containers and containerized applications on Microsoft Azure.SHIMON IFRAH is a Solution Architect, writer, tech blogger, and author with over 15 years of experience in the design, management, and deployment of information technology systems, applications, and networks. In the last decade, Shimon has specialized in cloud computing and containerized applications on Microsoft Azure, Microsoft 365, Azure DevOps, and .NET. Shimon also holds over 20 vendor certificates from Microsoft, AWS, VMware, Oracle, and Cisco. During his career in the IT industry, he has worked for some of the world's largest managed services and technology companies, assisting them in designing and managing systems used by millions of people every day. He is based in Melbourne, Australia.
Enterprise AI in the Cloud
EMBRACE EMERGING AI TRENDS AND INTEGRATE YOUR OPERATIONS WITH CUTTING-EDGE SOLUTIONSEnterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You’ll also discover best practices on optimizing cloud infrastructure for scalability and automation.Enterprise AI in the Cloud helps you gain a solid understanding of:* AI-FIRST STRATEGY: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation* STATE-OF-THE-ART USE CASES: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning* PLATFORM SCALABILITY AND MLOPS (ML OPERATIONS): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation* AWS, AZURE, GOOGLE ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms* AI-DRIVEN INNOVATION EXCELLENCE: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture* ETHICAL AND TRUSTWORTHY AI MASTERY: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics* SCALING AI ENTERPRISE-WIDE: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating ModelWhether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments.With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.RABI JAY is a recognized IT expert with over 15 years of experience working in roles such as VP of Architecture, Digital Platform Strategy Lead, and Global Alliance Manager at Deloitte Consulting, as well as at HCL America and SapientRazorfish. He has been instrumental in driving large-scale, enterprise-level Cloud and AI transformations across diverse industries like retail, telecom, finance, and tech. He holds sought-after certifications in AWS Machine Learning, AWS Solutions Architect, and Microsoft Azure. You can connect with Rabi through his authoritative LinkedIn newsletter, Enterprise AI Transformation. Introduction xviiPART I: INTRODUCTIONChapter 1: Enterprise Transformation with AI in the Cloud 3Chapter 2: Case Studies of Enterprise AI in the Cloud 19PART II: STRATEGIZING AND ASSESSING FOR AIChapter 3: Addressing the Challenges with Enterprise AI 31Chapter 4: Designing AI Systems Responsibly 41Chapter 5: Envisioning and Aligning Your AI Strategy 50Chapter 6: Developing An AI Strategy and Portfolio 57Chapter 7: Managing Strategic Change 66PART III: PLANNING AND LAUNCHING A PILOT PROJECTChapter 8: Identifying Use Cases for Your AI/ml Project 79Chapter 9: Evaluating AI/ml Platforms and Services 106Chapter 10: Launching Your Pilot Project 152PART IV: BUILDING AND GOVERNING YOUR TEAMChapter 11: Empowering Your People Through Org Change Management 163Chapter 12: Building Your Team 173PART V: SETTING UP INFRASTRUCTURE AND MANAGING OPERATIONSChapter 13: Setting Up An Enterprise AI Cloud Platform Infrastructure 187Chapter 14: Operating Your AI Platform with Mlops Best Practices 217PART VI: PROCESSING DATA AND MODELINGChapter 15: Process Data and Engineer Features in The Cloud 243Chapter 16: Choosing Your AI/ml Algorithms 268Chapter 17: Training, Tuning, and Evaluating Models 315PART VII: DEPLOYING AND MONITORING MODELSChapter 18: Deploying Your Models Into Production 345Chapter 19: Monitoring Models 361Chapter 20: Governing Models for Bias and Ethics 377PART VIII: SCALING AND TRANSFORMING AIChapter 21: Using the AI Maturity Framework to Transform Your Business 391Chapter 22: Setting Up Your AI Coe 407Chapter 23: Building Your AI Operating Model and Transformation Plan 416PART IX: EVOLVING AND MATURING AIChapter 24: Implementing Generative AI Use Cases With Chatgpt for the Enterprise 433Chapter 25: Planning for the Future of AI 465Chapter 26: Continuing Your AI Journey 479Index 485
Flame Game Development
Reimagine your development process and create, test, and deploy your mobile, web, desktop, and embedded apps from a single codebase. This book shows you how to leverage Flame, the modular Flutter game engine, to build cross-platform 2D games. With Flutter, you can create all kinds of apps by making subtle changes to projects at the code level. Guided by a practical project-based approach, you'll begin by downloading and installing the game engine. You'll then move on to creating widgets in Flutter and components within our game, such as player, enemy, background, consumables, etc. The book also shows you how to add sprites, render images, setup animation, and much more. Flame Game Development is perfect for the novice eager to gain hands-on knowledge of this exciting game engine's library to create a simple 2D game. What You'll Learn * Apply Flutter coding skills to game development * Developgames that can be played on all platforms * Create your first 2D game using Flame Who This Book Is For Beginners who want to learn how to develop games on Flame and create their first 2D game with Flutter. Chapter 1: Create a Project in Flutter and Add Flame.- Chapter 2: Flame Basics.- Chapter 3: Flame Fundamentals.- Chapter 4: Game One: Meteor Shower.- Chapter 5: Background in Color and Image.- Chapter 6: Tiled Background.- Chapter 7: Game Two, Jump Between Tiles.- Chapter 8: Game Two, Many Experiments.- Chapter 9: Game Three, Move XY.- Chapter 10: Game Three, Enemies.- Chapter 11: Game Four, Plants vs Zombies.- Chapter 12: Game Four, Many Experiments.- Chapter 13: Game Five, Parallax Backgrounds.-Chapter 14: Audio.
Enterprise AI in the Cloud
EMBRACE EMERGING AI TRENDS AND INTEGRATE YOUR OPERATIONS WITH CUTTING-EDGE SOLUTIONSEnterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You'll also discover best practices on optimizing cloud infrastructure for scalability and automation.Enterprise AI in the Cloud helps you gain a solid understanding of:* AI-FIRST STRATEGY: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation* STATE-OF-THE-ART USE CASES: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning* PLATFORM SCALABILITY AND MLOPS (ML OPERATIONS): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation* AWS, AZURE, GOOGLE ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms* AI-DRIVEN INNOVATION EXCELLENCE: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture* ETHICAL AND TRUSTWORTHY AI MASTERY: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics* SCALING AI ENTERPRISE-WIDE: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating ModelWhether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments.With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.RABI JAY is a recognized IT expert with over 15 years of experience working in roles such as VP of Architecture, Digital Platform Strategy Lead, and Global Alliance Manager at Deloitte Consulting, as well as at HCL America and SapientRazorfish. He has been instrumental in driving large-scale, enterprise-level Cloud and AI transformations across diverse industries like retail, telecom, finance, and tech. He holds sought-after certifications in AWS Machine Learning, AWS Solutions Architect, and Microsoft Azure. You can connect with Rabi through his authoritative LinkedIn newsletter, Enterprise AI Transformation. Introduction xviiPART I: INTRODUCTIONChapter 1: Enterprise Transformation with AI in the Cloud 3Chapter 2: Case Studies of Enterprise AI in the Cloud 19PART II: STRATEGIZING AND ASSESSING FOR AIChapter 3: Addressing the Challenges with Enterprise AI 31Chapter 4: Designing AI Systems Responsibly 41Chapter 5: Envisioning and Aligning Your AI Strategy 50Chapter 6: Developing An AI Strategy and Portfolio 57Chapter 7: Managing Strategic Change 66PART III: PLANNING AND LAUNCHING A PILOT PROJECTChapter 8: Identifying Use Cases for Your AI/ml Project 79Chapter 9: Evaluating AI/ml Platforms and Services 106Chapter 10: Launching Your Pilot Project 152PART IV: BUILDING AND GOVERNING YOUR TEAMChapter 11: Empowering Your People Through Org Change Management 163Chapter 12: Building Your Team 173PART V: SETTING UP INFRASTRUCTURE AND MANAGING OPERATIONSChapter 13: Setting Up An Enterprise AI Cloud Platform Infrastructure 187Chapter 14: Operating Your AI Platform with Mlops Best Practices 217PART VI: PROCESSING DATA AND MODELINGChapter 15: Process Data and Engineer Features in The Cloud 243Chapter 16: Choosing Your AI/ml Algorithms 268Chapter 17: Training, Tuning, and Evaluating Models 315PART VII: DEPLOYING AND MONITORING MODELSChapter 18: Deploying Your Models Into Production 345Chapter 19: Monitoring Models 361Chapter 20: Governing Models for Bias and Ethics 377PART VIII: SCALING AND TRANSFORMING AIChapter 21: Using the AI Maturity Framework to Transform Your Business 391Chapter 22: Setting Up Your AI Coe 407Chapter 23: Building Your AI Operating Model and Transformation Plan 416PART IX: EVOLVING AND MATURING AIChapter 24: Implementing Generative AI Use Cases With Chatgpt for the Enterprise 433Chapter 25: Planning for the Future of AI 465Chapter 26: Continuing Your AI Journey 479Index 485
API Management
APIs are the enablers for a thriving ecosystem that can drive revenue growth and ROIs for any organization. This book will cover all relevant topics and trends that enterprise architects need to know to build and govern APIs as a product.The second edition of the API Management builds on the foundation established in the first edition to cover recent advances in API development as well as the principles and best practices of building API as a product. It has been updated to cover the latest and emerging trends in API architecture, design, and implementation covering the use of gRPC, graphQL, microservices and service mesh to building and manage a scalable API platform. New chapters cover how to build an effective API strategy for digital transformation and implement an API-First architecture to build and deliver APIs as a Product.Any software architect or developer looking to adopt and build APIs for digital transformation and excellence within their organization will find this book to be an invaluable resource.WHAT YOU WILL LEARN* Understand API Management Architecture and Design best practices* How to build an effective API strategy and build APIs as product* How to design, build and test APIs using API-First approach* How to implement API Security* What are the latest API technology trends and adoption across industryWHO THIS BOOK IS FORCxOs, software architects, and developers who are looking to implement APIs within their organization for digital transformation initiatives.Brajesh is Sr. Director with Fresh Gravity, leading their API Management and Integration practice. He has more than 25 years of industry experience specializing in API Management and Cloud Integration space. He has led many large-scale Digital Transformation projects helping enterprises across industries in laying out API First strategy and executed some of them on multi-cloud platforms. . His innovations are patented and granted across four countries in areas like API Assessment and data veracity. He is a Google-certified Cloud Security architect and MIT-certified Application Security Architect. Before Fresh Gravity he worked with Accenture, Apigee, and Wipro as a Global API capability lead, Principal Architect, and Lead integration architect.Chapter 1: Introduction to APIsChapter Goal: This chapter introduces APIs and their importance in today’s digital economy for all digital transformation programs. We look at some of the associated and similar technologies like SOA, iPaas, and Microservices and understand their differences and relationship with API. The second edition will make updates to the examples for popular public APIs, types of APIs, introduction to iPaas platform for APIs, and some ofNo of pages 12 to 15 pagesChapter 2: Introduction to API ManagementChapter Goal: This chapter discusses the need for an API Management platform for an enterprise. It focuses on the capabilities required for an API management platform viz. API Gateway, Developer Portal, and API Analytics. The second edition of the book will highlight the recent advancements and trends in API Management and new capabilities added to API Management platform products.No of pages: 12 to 15 pagesSub - Topics1. API Gateway2. API Developer Portal3. API Analytics4. Service MeshChapter 3: Designing RESTful APIsChapter Goal: This chapter will cover the concepts and best practices for designing RESTful APIs that developer love. It will introduce the audience to the right use of HTTP verbs, HTTP status codes, versioning guidelines, and resource naming conventions for building restful APIs.No of pages : 18 to 20 pagesSub - Topics:1. REST API Design Principles2. API Naming conventions3. HTTP Verbs and Error codes4. API Design Best PracticesChapter 4: API DocumentationChapter Goal: This chapter will discuss the importance of documentation for APIs and the best practices for documenting APIs. It will discuss the various standards out there for documentation and the differences. Advances and differences in API documentation standards like OAS. RAML and Async APIs will be covered. The 2nd edition of the book will introduce the changes in the API document standardsNo of pages:12 to 15 pagesSub - Topics:1. Importance of good API documentation2. Open API Specifications3. RAML4. Async APIsChapter 5: API Architecture PatternsChapter Goal: This chapter focuses on the various patterns for developing and managing scalable APIs. It discusses the patterns for API Implementation, Traffic Management, API Security, API Deployments, and API Adoption. The 2nd edition will cover the new patterns for the development scalable APIsNo of pages: 20 to 25 pagesSub - Topics:1. API Traffic Management Patterns2. API Security Patterns3. API deployment patterns4. API Operations and adoption patternsChapter 6: API Version ManagementChapter Goal: This chapter will highlight the importance and approaches for versioning APIs for easier life cycle management.Chapter 7: API SecurityChapter Goal: This chapter will discuss the various approaches and technologies available for implementing robust end-to-end security for APIs. The 2nd edition will also focus on the latest advances in API security like WAAP and protection against BoT attacksNo of pages:25 to 30 pagesSub - Topics:1. API Authentication and Authorization2. OAuth3. Open Id Connect4. JwT tokens5. Preventing BoT attacks6. WAAP (Web Application and API Protection)Chapter 8: API MonetizationChapter Goal: This chapter will highlight the various API monetization models and the concepts around creating an API Monetization package. The chapter will also cover some of the pitfalls to avoid while selecting the monetization model. The 2nd edition will update this chapter to cover the pitfalls to avoid while monetizing APIsNo of pages: 8 to 10 pagesSub - Topics:1. API Monetization approach2. API Monetization Models3. Pitfalls to avoid while Monetizing APIsChapter 9: API Testing StrategyChapter Goal: This chapter will focus on the right approach to test APIs with interface testing, functional integration testing, security testing, and load and performance testing. The chapter will also look at some of the popular tools for API testing.No of pages: 12 to 15 pagesSub - Topics:1. API Testing approach2. Best practices for API testing3. API Testing toolsChapter 10: API AnalyticsChapter Goal: This chapter will focus on the various stakeholders and metrics/dashboards to look at for monitoring the performance of APIs.No of pages: 5 to 8 pagesSub - Topics:5. API Analytics6. App Analytics7. Developer AnalyticsChapter 11: API Developer PortalChapter Goal: This chapter will focus on the need for building a rich and user-friendly Developer Portal. It will highlight the necessary components and functionalities to be implemented in a Developer Portal. The 2nd edition of this chapter will introduce the best practices to follow and advanced capabilities that should be built to accelerate the adoption of APIs using the Developer PortalNo of pages: 12 to 15 pagesSub - Topics:1. API Publications2. Developer Onboarding3. API dashboards4. Forums and Blogs5. SupportChapter 12: API GovernanceChapter Goal: This chapter will look into the various personas and their roles in the API lifecycle. It will look at the scope and aim of API Governance. The various API governance models will be discussed in this chapter. The 2nd edition will highlight the best practices to follow for an effective API governanceNo of pages: 8 to 10 pagesSub - Topics:1. API Lifecycle2. Personals and Roles3. API Governance Models4. Best practices for effective API GovernanceChapter 13: Building an effective API StrategyChapter Goal: This new chapter in the 2nd edition will focus on the approach to building an effective API strategy for an organization. It will highlight the components that should be part of the enterprise API strategy.No of pages: 5 to 8 pagesSub - Topics:1. API Business Strategy2. API Technology Strategy3. API Ecosystem StrategyChapter 14: Building an API-First ArchitectureChapter Goal: This new chapter in the 2nd edition will focus on the principles and approaches for building an API-First architecture. It will cover the API principles for API exposure, and various patterns for building scalable and decoupled APIs like orchestration, choreography, event-driven approach, service mesh, service registryNo of pages: 20 to 25 pagesChapter 15: Modern API Architecture StylesChapter Goal: This new chapter in the 2nd edition will introduce the readers to some of the latest advancements in technology for building APIs like graphQL, and gRPC. It will look at the various criteria for making the right technology choices for architecting APIsNo of pages: 10 to 12 pagesSub - Topics:1. graphQL2. gRPCChapter 16: Build APIs as a ProductChapter Goal: This new chapter in the 2nd edition will focus on the principles for building APIs as a product that customers will love. It will also discuss the approaches and best practices to be followed for creating an API Product and launching it in the marketNo of pages: 10 to 12 pagesSub - Topics:1. Pillars of a product mindset2. Guide to API Product Management PrinciplesChapter 17: API Maturity ModelChapter Goal: This new chapter in the 2nd edition will talk about the maturity levels of an enterprise APIs program. It also provides a roadmap that organizations may adopt to evolve and mature their APIs to meet the growing business needsNo of pages: 8 to 10 pagesSub - Topics: 1. API Architecture maturity2. API Governance maturity3. API Developer Community Maturity4. API Development Process Maturity5. API Operations Maturity
Analyzing Websites
From a cluster of interconnected HTML pages to online service platforms, websites are constantly changing in form and function. These transformations have led, on the one hand, to human and social sciences renewing or inventing analytical methodologies; and on the other hand, to a reconsideration of the practices of non-specialists and digital professionals.The Web factory is equally included on the agenda of communication training, according to an alternative approach that is complementary to the one that has been implemented for computer scientists.From these two perspectives and drawing upon several case studies, Analyzing Websites presents epistemological and methodological contributions from researchers in Information and Communication Sciences exploring websites as sociotechnical, semi-discursive and communicational devices. This study covers website design as well as their integration into the digital strategies of organizations in the public, associative and private sectors.LUC MASSOU is a professor in Information and Communication Sciences at Université de Lorraine, France, and a member of CREM.PATRICK MPONDO-DICKA is a lecturer in Information and Communication Sciences at Université Toulouse Jean-Jaurès, France, and a member of LERASS.NATHALIE PINÈDE is a professor in Information and Communication Sciences at Université Bordeaux Montaigne, France, and a member of MICA.Foreword xiiiSébastien ROUQUETTEIntroduction xviiLuc MASSOU, Patrick MPONDO-DICKA and Nathalie PINÈDEPART 1 WEBSITES AS A SOCIO-TECHNICAL DEVICE 1CHAPTER 1 OBSERVING THE WEB THROUGH THE LENS OF WEBSITES 3Camille ALLOING1.1 Introduction 31.2 The website as a space and an architecture 51.3 The pioneer Web (before 2000) 71.4 The citation Web (from 2000 to 2005) 121.5 The Web known as Web 2.0 (from 2005 to 2010) 151.6 The social Web (from 2010 to 2015) 191.7 An affective and artificial Web (2015 to the present) 231.8 Conclusion 241.9 References 26CHAPTER 2 IS THE WEB A SEMIODISCURSIVE OBJECT? 29Christine BARATS and Julia BONACCORSI2.1 Introduction 292.2 How to do relevant data sets with Web data? The making of a complex object of research 312.2.1 Sociotechnical devices and the construction of the object 312.2.2 From the research question to the data sets: knowledge and documentation of the device 342.2.3 Notional tools for semiodiscursive approaches 382.3 Standing the test of time: surveys and methods 422.3.1 Tangled temporalities 422.3.2 Defining the right way to select and collect data sets 442.3.3 From the notion of corpus to the notion of digital corpus 462.4 Violence against data: issues of interpretation 492.4.1 Formatting of issues by research instrumentation 492.4.2 Limits and challenges of interpretation: taking the illusion of immediacy and standardization of meaning into account 512.5 Conclusion 522.6 References 53CHAPTER 3 EXPERTISE FROM WEBSITES: PEDAGOGICAL PERSPECTIVES IN INFORMATION AND COMMUNICATION 57Luc MASSOU3.1 Introduction 573.2 What is the role of website expertise in information and communication? 583.2.1 Example of a 3-year educational program 593.2.2 From analysis to website expertise 623.3 What are the benefits of semio-rhetorical, critical and socio-technical approaches for the learner? 653.3.1 An "external" expertise to put results into perspective 663.3.2 Several points in common with our scientific analyses 673.4 Conclusion 703.5 Appendices 723.6 References 76Part 2 The Website as a Semiodiscursive Device 81CHAPTER 4 SEMIOTICS OF DIGITAL DESIGN: FROM ETHOS TO ETHICS 83Nicole PIGNIER4.1 Introduction 834.2 Semiotics of webdesign: from 2004 to 2021 854.2.1 A realistic or hyper-realistic form of multimodal writing 854.2.2 A mythical or symbolic multimodal writing 874.2.3 A readable and redundant multimodal writing 884.2.4 A reality-removing and subversive multimodal writing 904.2.5 The semiotic functions of Web interfaces 914.3 Beyond its ethos, the ethical aim of digital design 924.3.1 Divergences between ethos and ethics 934.3.2 Websites in a tense relationship with other players in digital design 944.4 Interrogating the semiotic interrelations between the strata of digital design 954.4.1 The notions of prefiguration, configuration and figuration 954.4.2 Semiotic interrelationships between the strata 974.4.3 Digital design: from ethos to ethics 984.5 Conclusion 1014.6 References 103CHAPTER 5 SOCIAL SEMIOTIC APPROACH OF PRESS WEBSITES: GENESIS OF A METHOD 105Alexandra SAEMMER and Nolwenn TRÉHONDART5.1 Introduction 1055.2 Epistemological and methodological issues 1075.2.1 Genesis of a method 1075.2.2 Foundational concepts 1095.2.3 Semiotic tools introduced in the field 1105.3 The first field: a critical decoding of interfaces 1125.3.1 Experimental protocol 1125.3.2 Spontaneous opinions and impressions from viewing BFM TV's website 1135.3.3 Identification of editorial units and first interpretations 1145.3.4 Debating and choosing hypotheses 1175.4 Second field: toward a social semiotic approach of websites 1185.5 Interpretative hypotheses and interpretative filters 1205.5.1 "BFM, the information supermarket", from the lens of an anti-capitalist viewpoint and professional habits 1205.5.2 The "sexist, right-wing BFM", through the prism of a feminist and intersectional perspective 1225.5.3 "BFM as a counter-power", through the lens of a complicit or critical adherence to the state media 1245.6 Conclusion 1255.7 Appendices 1275.8 References 128CHAPTER 6 ANALYZING THE MOBILIZATION AGAINST THE LPR ON TWITTER: THEORETICAL ISSUES AND METHODOLOGICAL CHALLENGES 131Justine SIMON6.1 Introduction 1316.2 Multidimensional approach to digital social networks 1346.2.1 Shedding light on the notion of hypertextualized discourse 1346.2.2 Shared images and participatory culture 1346.2.3 Interdiscursivity, narrativity and argumentativity 1386.3 Ethical questions and methodological challenges 1406.3.1 Ethical concerns 1406.3.2 Methodological challenges 1436.4 Presentation of the six sub-corpora 1476.4.1 Sub-corpus 1: the narrating Twitter user 1486.4.2 Sub-corpus 2: the narrator-character Twitter user 1496.4.3 Sub-corpus 3: calls to action 1526.4.4 Sub-corpus 4: sharing visual gags and interactive mini-stories 1526.4.5 Sub-corpus 5: sharing of inter-iconic images and double narratives 1546.4.6 Sub-corpus 6: oppositions of discourse/counter-discourse 1576.5 Outlook and analytical perspectives 1586.6 Conclusion 1596.7 References 161CHAPTER 7 METAPHOR AND ANALYSIS OF WEBSITES: TRANSFORMATIONS OF A MEDIA OBJECT 167Pergia GKOUSKOU7.1 Introduction 1677.2 Uses of metaphors for analyzing websites and digital communications 1687.2.1 The "website" object: between documents, media and devices 1687.2.2 The place of metaphor in the analysis of the "website" object 1727.2.3 Metaphor and intermediality 1737.2.4 Metaphors, remediatization and strategies of digital communications 1757.3 Websites that visualize open data: making sense using the metaphor as inquiry 1787.3.1 Hypermedia maps in data visualization 1797.3.2 The metaphor of the mosaic in data visualization 1827.3.3 Metaphor as a framework for action: involvement of the Internet user and a sense of transparency 1837.4 Conclusion 1867.5 References 187Part 3 The Website as a Communication Device 191CHAPTER 8 THEMATIC ANALYSIS OF HYPERLINKS: A TAXONOMIC APPROACH 193Nathalie PINÈDE8.1 Introduction 1938.2 Analytical framework for an info-communicational reading of websites 1948.3 The interest of a taxonomic reading grid for websites 1998.4 Presentation of the methodological approach 2028.4.1 Corpus of university websites 2038.4.2 A semiodiscursive and taxonomic analysis of web pages 2048.5 Primary results 2068.5.1 Analysis of the main menus of the home pages 2068.5.2 Generic approach to the HLU corpus 2108.5.3 Informational profiles from the taxonomy of the HLUs 2138.5.4 A closer look at a class: "User profiles" 2198.6 Conclusion 2218.7 Appendices 2238.8 References 227CHAPTER 9 THE DOCUMEDIALITY OF CROSS-BORDER ORGANIZATIONS 231Marie-Hélène HERMAND9.1 Introduction 2319.2 Theoretical and methodological anchoring in semiotics applied to the media 2339.3 First step: create a reading of three cross-border organizational models through the lens of documentality 2359.3.1 Within the European Union (EU): the documentality of the Euroregions-fluids 2359.3.2 On the borders of the EU: the documentality of the Euroregion buffers 2379.3.3 In Southern Africa: the documentality of ecoregions 2389.4 Step two: build a corpus of websites from the three cross-border organizational models considered 2399.4.1 The website of the Tyrol Alto Adige Trentino Euroregion 2399.4.2 The website of the Danube-Cris-Mures-Tisa Euroregion 2409.4.3 The website of Kavango-Zambezi Transfrontier Conservation Area 2439.5 Stage three: identify the memory processes to unravel the skein of cross-border narratives presented to audiences 2449.5.1 Call for a shared memory: anchoring within a territory-symbol 2449.5.2 Call for a shared history: anchoring within a legitimate quest 2489.5.3 The call for a shared heritage: an anchoring in shared living 2509.6 Step four: qualitatively comparing the results 2559.7 Conclusion 2599.8 References 261CHAPTER 10 "TELL US YOUR DATA", BETWEEN EUPHEMIZATION, STANDARDIZATION, AND DIGITAL POETICS 265Camille RONDOT10.1 Introduction 26510.2 Epistemological and methodological issues 26810.2.1 Performance, notoriety and visibility: a disruptive discourse 26810.2.2 Empowered skills: a discourse on the method as a foundational basis 27210.2.3 From social data to consumer knowledge: information rhetoric 27510.3 A poetics of the visible and the audible 27610.3.1 Revealing the visible and making ordinary conversations speak 27610.3.2 Revealing what is visible through surveillance: between euphemized discourse and the desire to create a panopticon 27910.4 Conclusion 28310.5 References 285List of Authors 287Index 289