Redis Stack for Application Modernization. Build real-time multi-model applications at any scale with Redis

Luigi Fugaro, Mirko Ortensi

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.

Data Science with .NET and Polyglot Notebooks. Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel

Matt Eland

As the fields of data science, machine learning, and artificial intelligence rapidly evolve, .NET developers are eager to leverage their expertise to dive into these exciting domains but are often unsure of how to do so. Data Science in .NET with Polyglot Notebooks is the practical guide you need to seamlessly bring your .NET skills into the world of analytics and AI. With Microsoft’s .NET platform now robustly supporting machine learning and AI tasks, the introduction of tools such as .NET Interactive kernels and Polyglot Notebooks has opened up a world of possibilities for .NET developers. This book empowers you to harness the full potential of these cutting-edge technologies, guiding you through hands-on experiments that illustrate key concepts and principles. Through a series of interactive notebooks, you’ll not only master technical processes but also discover how to integrate these new skills into your current role or pivot to exciting opportunities in the data science field. By the end of the book, you’ll have acquired the necessary knowledge and confidence to apply cutting-edge data science techniques and deliver impactful solutions within the .NET ecosystem.

LLVM Code Generation. A deep dive into compiler backend development

Quentin Colombet, Kristof Beyls

The LLVM infrastructure is a popular compiler ecosystem widely used in the tech industry and academia. This technology is crucial for both experienced and aspiring compiler developers looking to make an impact in the field. Written by Quentin Colombet, a veteran LLVM contributor and architect of the GlobalISel framework, this book provides a primer on the main aspects of LLVM, with an emphasis on its backend infrastructure; that is, everything needed to transform the intermediate representation (IR) produced by frontends like Clang into assembly code and object files.You’ll learn how to write an optimizing code generator for a toy backend in LLVM. The chapters will guide you step by step through building this backend while exploring key concepts, such as the ABI, cost model, and register allocation. You’ll also find out how to express these concepts using LLVM's existing infrastructure and how established backends address these challenges. Furthermore, the book features code snippets that demonstrate the actual APIs.By the end of this book, you’ll have gained a deeper understanding of LLVM. The concepts presented are expected to remain stable across different LLVM versions, making this book a reliable quick reference guide for understanding LLVM.

Mastering Windows 365. Deploy and Manage Cloud PCs and Windows 365 Link devices, Copilot with Intune, and Intune Suite - Second Edition

Christiaan Brinkhoff, Sandeep Patnaik, Morten Pedholt, Scott Manchester, ...

Windows 365 Cloud PC continues to evolve, integrating AI-driven management, enhanced security, and expanded capabilities to provide a seamless cloud-based Windows experience. This second edition builds on the foundation of the first, incorporating new content on Intune Suite, Copilot+ AI PCs, Windows App, and advanced security with Security Copilot to help IT professionals deploy, manage, and optimize Windows 365 Cloud PCs effectively.This edition expands beyond the basics, covering Intune Suite’s role in optimizing and securing deployments, new methods for application management and delivery, and insights into Windows 365 Link for hybrid cloud environments. You’ll also explore AI-powered administration with Security Copilot, providing intelligent security management and automation.Written by experts from the Windows 365 product team and a Microsoft MVP, this book provides practical guidance, best practices, and real-world insights to help you master modern Windows cloud management. Whether you’re working with Windows 365, Intune Suite, or AI-powered administration, this guide equips you with the latest tools and strategies to stay ahead in cloud computing.

Journey to Become a Google Cloud Machine Learning Engineer. Build the mind and hand of a Google Certified ML professional

This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer.The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional.The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together.The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate.

Modern Network Observability. A hands-on approach using open source tools such as Telegraf, Prometheus, and Grafana

David Flores, Christian Adell, Josh VanDeraa, Eric Chou, ...

As modern IT services and software architectures such as microservices rely increasingly on network performance, the relevance of networks has never been greater. Network observability has emerged as a critical evolution of traditional monitoring, providing the deep visibility needed to manage today’s complex, dynamic environments. In Modern Network Observability, authors David Flores, Christian Adell, and Josh VanDeraa share their extensive experience to guide you through building and deploying a flexible observability stack using open-source tools.This book begins by addressing the limitations of monolithic monitoring solutions, showing you how to transform them into a composable, flexible observability stack. Through practical implementations, you’ll learn how to collect, normalize, and analyze network data from diverse sources, build intuitive dashboards, and set up actionable alerts that help you stay ahead of potential issues. Later, you’ll cover advanced topics, such as integrating observability data into your network automation strategy, ensuring your network operations align with business objectives.By the end of this book, you'll be able to proactively manage your network, minimize downtime, and ensure resilient, efficient, and future-proof operations.

Data Structures and Algorithms with the C++ STL. A guide for modern C++ practitioners

John Farrier

While the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL’s components, covering fundamental data structures, advanced algorithms, and concurrency features.Starting with an in-depth analysis of the std::vector, this book highlights its pivotal role in the STL, progressing toward building your proficiency in utilizing vectors, managing memory, and leveraging iterators. The book then advances to STL’s data structures, including sequence containers, associative containers, and unordered containers, simplifying the concepts of container adaptors and views to enhance your knowledge of modern STL programming. Shifting the focus to STL algorithms, you’ll get to grips with sorting, searching, and transformations and develop the skills to implement and modify algorithms with best practices. Advanced sections cover extending the STL with custom types and algorithms, as well as concurrency features, exception safety, and parallel algorithms.By the end of this book, you’ll have transformed into a proficient STL practitioner ready to tackle real-world challenges and build efficient and scalable C++ applications.

Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence

Arshad Ali, Bradley Schacht

Discover the capabilities of Microsoft Fabric, the premier unified solution designed for the AI era, seamlessly combining data integration, OneLake, transformation, visualization, universal security, and a unified business model. This book provides an overview of Microsoft Fabric, its components, and the wider analytics landscape.In this book, you'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You’ll learn how to build end-to-end lakehouse and data warehouse solutions using the medallion architecture, unlock the real-time analytics, and implement machine learning and AI models. As you progress, you’ll build expertise in monitoring workloads and administering Fabric across tenants, capacities, and workspaces. The book also guides you step by step through enhancing security and governance practices in Microsoft Fabric and implementing CI/CD workflows with Azure DevOps or GitHub. Finally, you’ll discover the power of Copilot, an AI-driven assistant that accelerates your analytics journey.By the end of this book, you’ll have unlocked the full potential of AI-driven data analytics, gaining a comprehensive understanding of the analytics landscape and mastery over the essential concepts and principles of Microsoft Fabric.

Artificial Intelligence for Robotics. Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks - Second Edition

Francis X. Govers III, Dr. Kamesh Namuduri

Unlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques. From neural networks to computer vision, this second edition of the book equips you with the latest tools, new and expanded topics such as object recognition and creating artificial personality, and practical use cases to create truly smart robots.Starting with robotics basics, robot architecture, control systems, and decision-making theory, this book presents systems-engineering methods to design problem-solving robots with single-board computers. You'll explore object recognition using YOLO and genetic algorithms to teach your robot to identify and pick up objects, leverage natural language processing to give your robot a voice, and master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. The book also covers path planning and goal-oriented programming to prioritize your robot's tasks, showing you how to connect all software using Python and ROS 2 for a seamless experience.By the end of this book, you'll have learned how to transform your robot into a helpful assistant with NLP and give it an artificial personality, ready to tackle real-world tasks and even crack jokes.

Data Governance Handbook. A practical approach to building trust in data

Wendy S. Batchelder

2.5 quintillion bytes! This is the amount of data being generated every single day across the globe. As this number continues to grow, understanding and managing data becomes more complex. Data professionals know that it’s their responsibility to navigate this complexity and ensure effective governance, empowering businesses with the right data, at the right time, and with the right controls.If you are a data professional, this book will equip you with valuable guidance to conquer data governance complexities with ease. Written by a three-time chief data officer in global Fortune 500 companies, the Data Governance Handbook is an exhaustive guide to understanding data governance, its key components, and how to successfully position solutions in a way that translates into tangible business outcomes.By the end, you’ll be able to successfully pitch and gain support for your data governance program, demonstrating tangible outcomes that resonate with key stakeholders.

Unity 6 Game Development with C# Scripting. Leverage C# scripting in Unity to create immersive games and VR experiences

Lem Apperson, Jonathan Weinberger

As developers tackle the growing complexity of creating immersive, high-performance games, the need for robust and efficient scripting continues to increase. Written by a game developer and Unity/C# expert known for his Apple App Store titles and extensive certifications, this book will help both new and seasoned developers overcome this challenge by helping you build a solid foundation in C# scripting within Unity and navigate the increasing demands of real-time game development.You’ll explore Unity-specific strategies for creating engaging user interfaces, vital in today's dynamic gaming landscape. The chapters walk you through Unity-specific classes and methods, empowering you to create diverse gaming experiences in both 3D and 2D environments. You’ll also manage complex developmental aspects, including AI, multiplayer setups, and VR integration, which are becoming increasingly relevant in the evolving gaming industry. The book serves as an invaluable resource for troubleshooting, offering techniques for debugging C# scripts and optimizing game performance—essential for crafting smooth and immersive gaming experiences.By the end of this book, you’ll be able to create both simple and complex games in Unity, opening doors to careers in game development and interactive media design.

R Bioinformatics Cookbook. Utilize R packages for bioinformatics, genomics, data science, and machine learning - Second Edition

Dan MacLean

The updated second edition of R Bioinformatics Cookbook takes a recipe-based approach to show you how to conduct practical research and analysis in computational biology with R. You’ll learn how to create a useful and modular R working environment, along with loading, cleaning, and analyzing data using the most up-to-date Bioconductor, ggplot2, and tidyverse tools.This book will walk you through the Bioconductor tools necessary for you to understand and carry out protocols in RNA-seq and ChIP-seq, phylogenetics, genomics, gene search, gene annotation, statistical analysis, and sequence analysis. As you advance, you'll find out how to use Quarto to create data-rich reports, presentations, and websites, as well as get a clear understanding of how machine learning techniques can be applied in the bioinformatics domain. The concluding chapters will help you develop proficiency in key skills, such as gene annotation analysis and functional programming in purrr and base R. Finally, you'll discover how to use the latest AI tools, including ChatGPT, to generate, edit, and understand R code and draft workflows for complex analyses.By the end of this book, you'll have gained a solid understanding of the skills and techniques needed to become a bioinformatics specialist and efficiently work with large and complex bioinformatics datasets.

Blazor Web Development Cookbook. Tested recipes for advanced single-page application scenarios in .NET 9

Pawel Bazyluk

With support for both server-side and client-side hosting, as well as the flexibility to mix render modes, Blazor empowers you to leverage cloud computing while maintaining the performance of local applications. Paweł Bazyluk—a Blazor expert with over a decade of experience in .NET technologies—shows you how Blazor, a Microsoft framework, enables you to create interactive web applications using C# and .NET, while reducing reliance on JavaScript. This cookbook highlights Blazor’s vast possibilities using practical recipes that address key aspects of web development and showcase the framework's versatility in building modern, integrated applications.Pawel demonstrates how to skillfully navigate component-based architecture, and create, parameterize, and customize components to achieve high modularity. Working through practical insights and hands-on guidance in each chapter, you’ll progress from advanced data binding and event handling intricacies to optimizing data display using grids. You’ll explore application state management, build interactive forms with validation, leverage Blazor’s routing engine, and keep every part of the application secure. The book also explores cutting-edge topics, touching on how to enhance your application with AI-powered features.By the end of the book, you’ll be fully equipped to build robust, scalable, and secure web applications in Blazor.

C# Data Structures and Algorithms. Harness the power of C# to build a diverse range of efficient applications - Second Edition

Marcin Jamro

Building your own applications is exciting but challenging, especially when tackling complex problems tied to advanced data structures and algorithms. This endeavor demands profound knowledge of the programming language as well as data structures and algorithms. C# Data Structures and Algorithms, armed with critical knowledge from an entrepreneur, author, industry expert, and seasoned developer with significant international experience, offers just that to C# developers.Starting with an introduction to algorithms, this book gradually immerses you in the world of arrays, lists, stacks, queues, dictionaries, and sets. Real-world examples, enriched with code snippets and illustrations, provide a practical understanding of these concepts. You’ll also learn how to sort arrays using various algorithms, setting a solid foundation for your programming expertise. As you progress, you’ll venture into more complex data structures – trees and graphs – and discover algorithms for tasks such as determining the shortest path in a graph before advancing to see various algorithms in action, such as solving Sudoku.By the end of this book, you’ll be able to use the C# language to build algorithmic components that are not only easy to understand and debug but also seamlessly applicable in various apps, spanning web and mobile platforms.

AWS Certified Cloud Practitioner Exam Guide. Build your cloud computing knowledge and build your skills as an AWS Certified Cloud Practitioner (CLF-C01)

Rajesh Daswani

Amazon Web Services is the largest cloud computing service provider in the world. Its foundational certification, AWS Certified Cloud Practitioner (CLF-C01), is the first step to fast-tracking your career in cloud computing. This certification will add value even to those in non-IT roles, including professionals from sales, legal, and finance who may be working with cloud computing or AWS projects. If you are a seasoned IT professional, this certification will make it easier for you to prepare for more technical certifications to progress up the AWS ladder and improve your career prospects.The book is divided into four parts. The first part focuses on the fundamentals of cloud computing and the AWS global infrastructure. The second part examines key AWS technology services, including compute, network, storage, and database services. The third part covers AWS security, the shared responsibility model, and several security tools. In the final part, you'll study the fundamentals of cloud economics and AWS pricing models and billing practices.Complete with exercises that highlight best practices for designing solutions, detailed use cases for each of the AWS services, quizzes, and two complete practice tests, this CLF-C01 exam study guide will help you gain the knowledge and hands-on experience necessary to ace the AWS Certified Cloud Practitioner exam.

Enhancing Your Cloud Security with a CNAPP Solution. Unlock the full potential of Microsoft Defender for Cloud to fortify your cloud security

Yuri Diogenes

Cloud security is a pivotal aspect of modern IT infrastructure, essential for safeguarding critical data and services. This comprehensive book explores Cloud Native Application Protection Platform (CNAPP), guiding you through adopting, deploying, and managing these solutions effectively. Written by Yuri Diogenes, Principal PM at Microsoft, who has been with Defender for Cloud (formerly Azure Security Center) since its inception, this book distills complex concepts into actionable knowledge making it an indispensable resource for Cloud Security professionals.The book begins with a solid foundation detailing the why and how of CNAPP, preparing you for deeper engagement with the subject. As you progress, it delves into practical applications, including using Microsoft Defender for Cloud to enhance your organization's security posture, handle multicloud environments, and integrate governance and continuous improvement practices into your operations.Further, you'll learn how to operationalize your CNAPP framework, emphasizing risk management & attack disruption, leveraging AI to enhance security measures, and integrating Defender for Cloud with Microsoft Security Exposure Management. By the end, you'll be ready to implement and optimize a CNAPP solution in your workplace, ensuring a robust defense against evolving threats.