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Podcasts
Dominiek Verham, Johan Vanneuville, Christiaan Brinkhoff, Scott Manchester
Do you want to effectively implement and maintain secure virtualized systems? This book will give you a comprehensive understanding of Microsoft virtual endpoints, from the fundamentals of Windows 365 and Azure Virtual Desktop to advanced security measures, enabling you to secure, manage, and optimize virtualized environments in line with contemporary cybersecurity challenges.You’ll start with an introduction to Microsoft technologies, gaining a foundational understanding of their capabilities. Next, you’ll delve into the importance of endpoint security, addressing the challenges faced by companies in safeguarding their digital perimeters. This book serves as a practical guide to securing virtual endpoints, covering topics such as network access, data leakage prevention, update management, threat detection, and access control configuration. As you progress, the book offers insights into the nuanced security measures required for Windows 365, Azure Virtual Desktop, and the broader Microsoft Azure infrastructure. The book concludes with real-world use cases, providing practical scenarios for deploying Windows 365 and Azure Virtual Desktop.By the end of this book, you’ll be equipped with practical skills for implementing and evaluating robust endpoint security strategies.
Pentesting APIs. A practical guide to discovering, fingerprinting, and exploiting APIs
Understanding API security is crucial as APIs form the backbone of modern interconnected applications, making them prime targets for cyberattacks. Drawing on nearly 30 years of cybersecurity experience and an extensive background in network security and forensic analysis, this book provides the knowledge and tools to strengthen your API security practices and protect against cyber threats comprehensively.This book begins by establishing a foundational understanding of APIs, particularly focusing on REST and GraphQL, emphasizing their critical role and potential security vulnerabilities. It guides you through setting up a penetration testing environment to ensure the practical application of concepts. You’ll learn reconnaissance techniques, information-gathering strategies, and the discovery of API vulnerabilities. Authentication and authorization testing are thoroughly explored, covering mechanisms, weaknesses, and methods to bypass security controls. By comprehensively addressing these aspects, the book equips you to understand, identify, and mitigate risks, strengthening API security and effectively minimizing potential attack surfaces.By the end of this book, you’ll have developed practical skills to identify, exploit, and secure APIs against various vulnerabilities and attacks.
If you’re looking to upskill and build sophisticated, minimalist web applications suited for enterprise use, Angular for Enterprise Applications is your guide to the next level of engineering mastery.In its third edition, this Angular book distils hard-earned lessons into a lucid roadmap for success. Adopting a pragmatic approach founded on a robust technical base, you'll utilize both JavaScript and TypeScript fundamentals. You'll also embrace agile engineering coding principles and learn to architect optimally sized enterprise solutions employing the freshest concepts in Angular.You’ll gradually build upon this foundation through insightful recipes, sample apps, and crystal-clear explanations. You’ll master authentication and authorization and achieve optimal performance through reactive programming and lazy loading, build complex yet flexible UIs with Router-first principles, and then integrate with backend systems using REST and GraphQL APIs.You’ll cover modern tools like RxAngular, Qwik, and Signals. You’ll construct master/detail views using data tables and NgRx for state management. You’ll explore DevOps using Docker and build CI/CD pipelines necessary for high-performance teams.By the end of this book, you’ll be proficient in leveraging Angular in enterprise and design robust systems that scale effortlessly.
Unlock the potential of JavaScript design patterns, the foundation for development teams seeking structured and reusable solutions to common software development challenges in this guide to improving code maintainability, scalability, and performance. Discover how these patterns equip businesses with cleaner and more maintainable code, promote team collaboration, reduce errors, and save time and costs.This book provides a comprehensive view of design patterns in modern (ES6+) JavaScript with real-world examples of their deployment in professional settings. You’ll start by learning how to use creational, structural, and behavioral design patterns in idiomatic JavaScript, and then shift focus to the architecture and UI patterns. Here, you’ll learn how to apply patterns for libraries such as React and extend them further to general web frontend and micro frontend approaches. The last section of the book introduces and illustrates sets of performance and security patterns, including messaging and events, asset and JavaScript loading strategies, and asynchronous programming performance patterns.Throughout the book, examples featuring React and Next.js, in addition to JavaScript and Web API examples, will help you choose and implement proven design patterns across diverse web ecosystems, transforming the way you approach development.
The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query
Gregory Deckler, Rick de Groot, Melissa de Korte, Brian Julius
Data transformation is a critical step in building data models and business intelligence reports. Power Query is an invaluable tool for anyone who wants to master data transformation, and this book will equip you with the knowledge and skills to make the most of it.The Definitive Guide to Power Query (M) will help you build a solid foundation in the Power Query M language. As you progress through the chapters, you'll learn how to use that knowledge to implement advanced concepts and data transformations. This will set the stage for an uncompromisingly thorough exploration of the Power Query M Language.You'll also get to grips with optimizing performance, handling errors, and implementing efficient data processing techniques. As this is a hands-on guide, the practical examples in the chapters will help you gain the skills to apply Power Query to real-world problems and improve your data analysis capabilities.By the end of this book, you will be able to leverage all of Power Query's remarkable capabilities for data transformation.
The MS-102: Microsoft 365 Administrator Exam Guide is meticulously crafted to empower readers with practical insights, starting with the essentials of provisioning a Microsoft 365 tenant, configuring identity synchronization and secure access, and deploying key Microsoft 365 Defender components.The book's purpose is clear—to guide professionals through the complexities of the MS-102 exam, ensuring not just exam success but mastery of the subject matter. This comprehensive exam guide comes with lifetime access to supplementary resources on an online platform, including flashcards, mock exams, and exam tips from experts. With unlimited access to the website, you'll have the flexibility to practice as many times as you desire, maximizing your exam readiness.As you progress through each chapter, the book unveils the layers of Microsoft 365 workloads, equipping you with the skills to manage role-based administration, deploy identity synchronization using Entra ID Connect, implement modern authentication methods, manage secure access through Conditional Access policies, and analyze security threats using Microsoft 365 Defender.By the end of this book, you'll have the proficiency to implement data loss prevention, configure information and data protection features, and approach the MS-102 exam with confidence.
Alim H. Ali, Steven Parker, Russell Ware
Becoming a network architect is challenging—it demands hands-on engineering skills, collaboration with internal teams and C-Suite stakeholders, as well as adeptly managing external entities like vendors and service providers. The author taps into his extensive background in IT and security to help you gain a detailed understanding of the network architect's role and guide you in evolving into an effective network architect within an organization, fostering seamless communication with leadership teams and other stakeholders.Starting with a clear definition of the network architect’s role, this book lays out a roadmap and discusses the attributes and mindset for success. You’ll explore network architect design, physical infrastructure routing and switching, and network services such as DNS, MLAG, and service insertion. You’ll also gain insights into the necessary skills and typical daily challenges faced by network architects. And to thoroughly prepare you to advance in your career, this handbook covers certifications and associated training for maintaining relevance in an organization, along with common interview questions for a network architect's position.By the end of this book, you’ll be armed with essential concepts, techniques, and newfound skills to pursue a career as a network architect.
Adversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips you with the skills to secure AI technologies, moving beyond research hype or business-as-usual activities. Learn how to defend AI and LLM systems against manipulation and intrusion through adversarial attacks such as poisoning, trojan horses, and model extraction, leveraging DevSecOps, MLOps, and other methods to secure systems.This strategy-based book is a comprehensive guide to AI security, combining structured frameworks with practical examples to help you identify and counter adversarial attacks. Part 1 introduces the foundations of AI and adversarial attacks. Parts 2, 3, and 4 cover key attack types, showing how each is performed and how to defend against them. Part 5 presents secure-by-design AI strategies, including threat modeling, MLSecOps, and guidance aligned with OWASP and NIST. The book concludes with a blueprint for maturing enterprise AI security based on NIST pillars, addressing ethics and safety under Trustworthy AI.By the end of this book, you’ll be able to develop, deploy, and secure AI systems against the threat of adversarial attacks effectively.
Mastering Prometheus. Gain expert tips to monitoring your infrastructure, applications, and services
With an increased focus on observability and reliability, establishing a scalable and reliable monitoring environment is more important than ever. Over the last decade, Prometheus has emerged as the leading open-source, time-series based monitoring software catering to this demand. This book is your guide to scaling, operating, and extending Prometheus from small on-premises workloads to multi-cloud globally distributed workloads and everything in between.Starting with an introduction to Prometheus and its role in observability, the book provides a walkthrough of its deployment. You’ll explore Prometheus’s query language and TSDB data model, followed by dynamic service discovery for monitoring targets and refining alerting through custom templates and formatting. The book then demonstrates horizontal scaling of Prometheus via sharding and federation, while equipping you with debugging techniques and strategies to fine-tune data ingestion. Advancing through the chapters, you’ll manage Prometheus at scale through CI validations and templating with Jsonnet, and integrate Prometheus with other projects such as OpenTelemetry, Thanos, VictoriaMetrics, and Mimir.By the end of this book, you’ll have practical knowledge of Prometheus and its ecosystem, which will help you discern when, why, and how to scale it to meet your ever-growing needs.
Alex Rios, a seasoned Go developer and active community builder, shares his 15 years of expertise in designing large-scale systems through this book. It masterfully cuts through complexity, enabling you to build efficient and secure applications with Go's streamlined syntax and powerful concurrency features.In this book, you’ll learn how Go, unlike traditional system programming languages (C/C++), lets you focus on the problem by prioritizing readability and elevating developer experience with features like automatic garbage collection and built-in concurrency primitives, which remove the burden of low-level memory management and intricate synchronization.Through hands-on projects, you'll master core concepts like file I/O, process management, and inter-process communication to automate tasks and interact with your system efficiently. You'll delve into network programming in Go, equipping yourself with the skills to build robust, distributed applications. This book goes beyond the basics by exploring modern practices like logging and tracing for comprehensive application monitoring, and advance to distributed system design using Go to prepare you to tackle complex architectures.By the end of this book, you'll emerge as a confident Go system programmer, ready to craft high-performance, secure applications for the modern world.
Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
In the competitive data-centric world, mastering data stewardship is not just a requirement—it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency.From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You’ll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You’ll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you’ll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship.By the end of this book, you’ll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.
Take the first step toward excellence in Azure management and earning your Microsoft certification with this hands-on guide!This third edition of Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond offers comprehensive insights and step-by-step instructions that follow the latest AZ-104 exam objectives. You’ll work your way from foundational topics such as Azure identity management and governance to essential skills such as deploying and managing storage solutions, configuring virtual networks, and monitoring Azure resources. Each chapter includes practice questions to reinforce your understanding and enhance your practical skills. The book also provides you with access to online mock exams, interactive flashcards, and expert exam tips, helping you assess your readiness and boost your confidence before the exam.By the end of this book, you won’t just be prepared to pass the AZ-104 exam – you’ll also have the expertise needed to efficiently manage Azure environments in real-world scenarios.
The Arduino IoT Cloud offers a variety of features for building modern IoT solutions while reducing time and costs for prototyping and deployment. This book is a step-by-step guide, helping you master the powerful Arduino IoT Cloud ecosystem. This book begins by introducing you to the IoT landscape including its architecture, communication technologies, and protocols and then to the capabilities of the Arduino IoT Cloud platform and the Cloud Editor. With practical projects, such as monitoring air quality, building a portable asset tracker, and creating a remote alarm system using the LoRaWAN specification, you'll learn how to implement real-world IoT applications. Next, you'll explore communication between IoT devices and cloud platforms as well as the implementation of the Arduino IoT Cloud SDK and JavaScript for advanced customization. You'll also find out how to program IoT nodes, analyze the surrounding environment data, and visualize it on dashboards. Additionally, you’ll get to grips with advanced features such as task scheduling, synchronization, remote over-the-air updates for IoT nodes, and scripting with CCLI, through hands-on examples.By the end of this book, you’ll have learned how to work with the Arduino IoT Cloud platform and related hardware devices and will be able to develop industry-specific and cost-effective IoT solutions, such as smart homes and smart agriculture.
With an introductory overview, the course prepares you for a deep dive into the practical application of Scikit-Learn and the datasets that bring theories to life. From the basics of machine learning to the intricate details of setting up a sandbox environment, this course covers the essential groundwork for any aspiring data scientist.The course focuses on developing your skills in working with data, implementing data reduction techniques, and understanding the intricacies of item-based and user-based collaborative filtering, along with content-based filtering. These core methodologies are crucial for creating accurate and efficient recommender systems that cater to the unique preferences of users. Practical examples and evaluations further solidify your learning, making complex concepts accessible and manageable.The course wraps up by addressing the critical topics of privacy, ethics in machine learning, and the exciting future of recommender systems. This holistic approach ensures that you not only gain technical proficiency but also consider the broader implications of your work in this field. With a final look at further resources, your journey into machine learning and recommender systems is just beginning, armed with the knowledge and tools to explore new horizons.
As cloud technology and automation evolve, managing infrastructure as code, integrating security, and handling microservices complexity have become critical challenges. This book takes a hands-on approach to teaching Terraform, helping you build efficient cloud infrastructure using real-world scenarios and best practices.It begins with an introduction to Terraform's architecture, covering its command-line interface and HashiCorp Configuration Language. You’ll learn best practices, architectural patterns, and how to implement Terraform across virtual machines, Docker/Kubernetes, serverless environments, and cloud platforms like AWS, Azure, and GCP. The book also covers integrating Terraform into CI/CD pipelines with other technologies to automate infrastructure provisioning and management.Additional chapters focus on security, monitoring, troubleshooting, and cost optimization. You'll also gain insights into preparing for the Terraform Associate certification. By the end, you’ll have the skills to build, automate, and manage cloud infrastructure effectively.
Elevate your practical C# and .NET skills to the next level with this new edition of Apps and Services with .NET 8.With chapters that put a variety of technologies into practice, including Web API, gRPC, GraphQL, and SignalR, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. You’ll dive into the new unified model for Blazor Full Stack and leverage .NET MAUI to develop mobile and desktop apps.This new edition introduces the latest enhancements, including the seamless implementation of web services with ADO.NET SqlClient's native Ahead-of-Time (AOT) support. Popular library coverage now includes Humanizer and Noda Time. There’s also a brand-new chapter that delves into service architecture, caching, queuing, and robust background services.By the end of this book, you’ll have a wide range of best practices and deep insights under your belt to help you build rich apps and efficient services.
Effective .NET Memory Management. Build memory-efficient cross-platform applications using .NET Core
In today’s software development landscape, efficient memory management is crucial for ensuring application performance and scalability. Effective .NET Memory Management addresses this need by explaining the intricacies of memory utilization within .NET Core apps, from fundamental concepts to advanced optimization techniques. Starting with an overview of memory management basics, you’ll quickly go through .NET’s garbage collection system. You’ll grasp the mechanics of memory allocation and gain insights into the distinctions between stack and heap memory and the nuances of value types and reference types. Building on this foundation, this book will help you apply practical strategies to address real-world app demands, spanning profiling memory usage, spotting memory leaks, and diagnosing performance bottlenecks, through clear explanations and hands-on examples. This book goes beyond theory, detailing actionable techniques to optimize data structures, minimize memory fragmentation, and streamline memory access in scenarios involving multithreading and asynchronous programming for creating responsive and resource-efficient apps that can scale without sacrificing performance. By the end of this book, you’ll have gained the knowledge to write clean, efficient code that maximizes memory usage and boosts app performance.
Israel Gbati, Georgios Papanikolaou
Bare-Metal Embedded C Programming takes you on an unparalleled journey to equip you with the skills and knowledge to excel in the world of embedded systems. The author, with over a decade of hands-on experience in engineering, takes a unique, practical approach to teach you how to decode microcontroller datasheets so that you’re able to extract vital information for precise firmware development. Register manipulation will become second nature to you as you learn to craft optimized code from scratch.The book provides in-depth insights into the hardware intricacies of microcontrollers. You'll navigate user manuals and documentation with ease, ensuring a profound understanding of the underlying technology. The true uniqueness of this book lies in its commitment to fostering independent expertise. Instead of simply copy pasting, you'll develop the capability to create firmware with confidence, paving the way for professional-grade mastery.By the end of this book, you'll have honed your skills in reading datasheets, performing register manipulations, and crafting optimized code, as well as gained the confidence needed to navigate hardware intricacies and write optimized firmware independently, making you a proficient and self-reliant embedded systems developer.
Begin with an introduction to Kubernetes, understanding its importance and architecture. These foundational chapters will set the stage for your exploration into Kubernetes' capabilities. As you progress, you'll learn how to set up Kubernetes and containerize an application, equipping you with practical skills for real-world application management.The course continues with a focus on running applications on Kubernetes, where you will delve into self-healing mechanisms, scaling, and performing rolling updates. Each chapter builds on the last, ensuring a seamless learning experience that integrates theoretical knowledge with hands-on practice. You'll understand how Kubernetes maintains application health and performance, providing a robust environment for modern applications.Concluding with advanced operational techniques and future steps, the course prepares you to leverage Kubernetes for continuous development and deployment. Whether you're scaling applications to meet demand or ensuring seamless updates with minimal downtime, you'll be equipped with the skills necessary for efficient and effective Kubernetes management. This course is your gateway to becoming proficient in one of the most essential tools in the DevOps toolkit.
Welcome to your big-picture guide to the React ecosystem.If you’re new to React and looking to become a professional React developer, this book is for you. This updated fifth edition reflects the current state of React, including React framework coverage as well as TypeScript.Part 1 introduces you to React. You’ll discover JSX syntax, hooks, functional components, and event handling, learn techniques to fetch data from a server, and tackle the tricky problem of state management. Once you’re comfortable with writing React in JavaScript, you’ll pick up TypeScript development in later chapters.Part 2 transitions you into React Native for mobile development. React Native goes hand-in-hand with React. With your React knowledge behind you, you’ll appreciate where and how React Native differs as you write shared components for Android and iOS apps. You’ll learn how to build responsive layouts, use animations, and implement geolocation.By the end of this book, you’ll have a big-picture view of React and React Native and be able to build applications with both.
Jakarta EE stands as a robust standard with multiple implementations, presenting developers with a versatile toolkit for building enterprise applications. However, despite the advantages of enterprise application development, vendor lock-in remains a concern for many developers, limiting flexibility and interoperability across diverse environments.This Jakarta EE application development guide addresses the challenge of vendor lock-in by offering comprehensive coverage of the major Jakarta EE APIs and goes beyond the basics to help you develop applications deployable on any Jakarta EE compliant runtime.This book introduces you to JSON Processing and JSON Binding and shows you how the Model API and the Streaming API are used to process JSON data. You’ll then explore additional Jakarta EE APIs, such as WebSocket and Messaging, for loosely coupled, asynchronous communication and discover ways to secure applications with the Jakarta EE Security API. Finally, you'll learn about Jakarta RESTful web service development and techniques to develop cloud-ready microservices in Jakarta EE.By the end of this book, you'll have developed the skills to craft secure, scalable, and cloud-native microservices that solve modern enterprise challenges.
Aaron Guilmette, Steve Miles, Peter De Tender
The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud.This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You’ll explore Microsoft’s responsible AI principles like safety and accountability. Then, you’ll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you’ll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you’ll find chapter review questions with answers, provided as an online resource.By the end of this exam guide, you’ll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources.
Learn SQL using MySQL in One Day and Learn It Well. SQL for beginners with Hands-on Project
Learn SQL (using MySQL) in One Day and Learn It Well is the ultimate guide for beginners aiming to grasp the complexities of SQL through hands-on learning. Starting with an introduction to the essence of databases, this book methodically advances through defining and manipulating tables, mastering data insertion, updates, deletions, and executing sophisticated data selection techniques across its comprehensive chapters. It further explores the creation and utility of views, the implementation of triggers to automate database responses, and the intricacies of variables, stored routines, control flow tools, and cursors, culminating in a capstone project that brings all concepts together.Culminating in a project , this book offers a unique opportunity to apply all the learned concepts in a practical, real-world scenario, reinforcing the skills and knowledge acquired throughout the chapters. The appendices provide additional resources including table definitions for practical exercises modeled on real-world scenarios.Embark on a learning journey that transitions you from novice to proficient in managing and querying databases with MySQL, empowering you with the skills to tackle real-world data challenges.
In the world of big data, efficiently processing and analyzing massive datasets for machine learning can be a daunting task. Written by Deepak Gowda, a data scientist with over a decade of experience and 30+ patents, this book provides a hands-on guide to mastering Spark’s capabilities for efficient data processing, model building, and optimization. With Deepak’s expertise across industries such as supply chain, cybersecurity, and data center infrastructure, he makes complex concepts easy to follow through detailed recipes.This book takes you through core machine learning concepts, highlighting the advantages of Spark for big data analytics. It covers practical data preprocessing techniques, including feature extraction and transformation, supervised learning methods with detailed chapters on regression and classification, and unsupervised learning through clustering and recommendation systems. You’ll also learn to identify frequent patterns in data and discover effective strategies to deploy and optimize your machine learning models. Each chapter features practical coding examples and real-world applications to equip you with the knowledge and skills needed to tackle complex machine learning tasks.By the end of this book, you’ll be ready to handle big data and create advanced machine learning models with Apache Spark.