The programming genius - 28 serie (125 risultati)

Paperback. Condizione: new. Paperback. What does it really take to build data systems that do not just process information, but react to it the moment it is created? And more importantly, how do engineers design platforms that can scale from a simple local pipeline to handling billions of events in real time without collapsing under pressure?This book is written for that exact question.What if you could design a single streaming system that works seamlessly across Java, Python, and Scala without rewriting your entire logic for each language? What if your data pipelines could behave consistently whether they run on a local machine, a distributed cluster, or a cloud-native environment?This book focuses on exactly that shift.It challenges you to think beyond traditional batch processing and asks: how do modern systems respond to continuous data instead of static datasets? When data is no longer "loaded and processed," but instead "arrives and evolves," how should your architecture change?Through Apache Spark 4.1, you will see how real-time pipelines are constructed, maintained, and optimized using a consistent programming model across Java, Python, and Scala. But more importantly, you will understand why Spark's design decisions matter when systems move from prototypes to production-scale environments.Have you ever wondered why some streaming systems fail under load while others continue to perform predictably even under massive data spikes? The answer lies not only in infrastructure, but in how processing logic is structured, partitioned, and executed inside the engine.This book raises those questions and answers them through real implementation patterns, production-tested design approaches, and deep architectural reasoning.You will learn how Structured Streaming changes the way developers think about time, state, and continuous computation. Instead of treating streaming as an extension of batch processing, you begin to see it as a fundamentally different execution model where events drive computation, not scheduled jobs.But this is not just theory.Every concept is tied to practical engineering use cases: fraud detection systems that must react within milliseconds, IoT platforms that continuously ingest sensor data, financial systems that process market ticks in real time, and large-scale recommendation engines that update user experiences instantly.These are not abstract problems-they are daily realities in distributed data engineering. This book addresses them directly, using Spark 4.1's structured streaming engine as the foundation.You will also explore how Java, Python, and Scala integrate into a unified development model, allowing engineers to choose the language that best fits their team without sacrificing system consistency. Instead of fragmented tooling, you gain a cohesive approach to building distributed pipelines.What does it take to move from writing simple DataFrame transformations to designing resilient, fault-tolerant, production-grade streaming architectures? This book walks through that progression step by step.It does not assume prior mastery of distributed systems. Instead, it builds your understanding from core principles to advanced architectural design, ensuring that each concept reinforces the next.By the end, you will not just understand Spark-you will be able to think in Spark: how data flows, how computation is scheduled, how state is managed, and how real-time systems remain stable under pressure.If you are building systems that cannot afford delays, inconsistencies, or downtime, this is the kind of knowledge that changes how you design everything that comes after.Start here.Take the next step into building scalable, real-time data pipelines with Apache Spark 4.1 across Java, Python, a Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. Have you ever wondered why your GPU-powered applications sometimes fail at the most unexpected moments? Why does a shader that works perfectly on one machine suddenly break on another architecture? Why do dependency conflicts appear when your NPM workspace grows larger, more complex, and more distributed?What happens when your graphics pipeline depends on precision, but your package management system depends on compatibility? This book explores the powerful connection between GLSL 3.3 development and NPM 11.18 package management, helping you understand how to organize, maintain, and resolve GPU math library dependencies across modern multi-architecture NPM workspaces.Have you struggled with managing packages that behave differently across platforms? Have you faced situations where a GPU math library introduces unexpected conflicts, where workspace dependencies become difficult to trace, or where maintaining consistency across multiple environments feels overwhelming?This guide asks the important questions every modern graphics developer and software engineer should consider: How do you build reliable GLSL 3.3 workflows when your projects rely on complex mathematical dependencies?How can NPM 11.18 workspace features help organize large-scale GPU application ecosystems?How do you create a development environment where shaders, libraries, and packages work together smoothly?What techniques can help you diagnose and resolve package conflicts before they affect production?Your GPU applications are only as strong as the systems supporting them. Understanding dependency management is just as important as understanding shader programming.Inside this book, you will explore the concepts, strategies, and problem-solving approaches needed to navigate the challenges of modern GPU development. You will learn how GLSL 3.3 fits into advanced rendering workflows, how mathematical libraries influence shader-based applications, and how NPM workspace management can provide structure and reliability for complex projects.Have you ever asked yourself why some teams can scale graphics projects effortlessly while others struggle with constant compatibility issues? The difference often comes down to architecture, organization, and the ability to manage the invisible connections between tools.This book encourages you to think beyond individual files and isolated packages. Instead, you will discover how complete development ecosystems are built-where GPU computations, mathematical operations, package dependencies, and multiple architectures operate together as one coordinated system.What if you could confidently manage complex GPU projects knowing exactly where conflicts originate and how to resolve them?Whether you are developing real-time graphics applications, experimenting with GPU acceleration, maintaining advanced JavaScript environments, or building scalable software systems, this book provides valuable insights into the challenges that appear when high-performance computing meets modern package management.Are you ready to understand the deeper relationship between GLSL 3.3 and NPM 11.18? Are you ready to take control of your GPU math libraries, improve your workspace organization, and build more dependable multi-architecture applications?Your next breakthrough in GPU development begins with mastering the systems behind the code.Start your journey today, explore the techniques inside this book, and gain the knowledge needed to confidently manage GLSL 3.3 projects, resolve NPM dependency challenges, and create stronger, more scalable GPU-driven applications. Take the next step toward becoming the developer who does not just write graphics code-but masters the entire ecosystem that mak Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - What if building Spring MVC applications wasn't just about making things work-but about truly understanding why they work, and how to make them secure, stable, and production-ready from the ground up Have you ever wondered what actually changes in real systems when a new framework release like Spring MVC 7.0.8 improves security and stability Or are you still relying on patterns that feel familiar but may not be fully optimized for modern demands This Spring MVC 7.0.8 Professional Handbook: Security and Stability Improvements in Spring MVC 7.0.8 Release is written like a technical conversation-constantly challenging you to think deeper.Are your controllers really as secure as you assume Do you fully understand how request handling behaves under heavy load And when something breaks in production, do you know exactly where to start looking This isn't just about learning features. It's about questioning your assumptions and refining how you build backend systems.You'll start seeing how small configuration decisions directly impact application security and runtime stability, and how Spring MVC 7.0.8 strengthens those core areas in meaningful ways.If you're ready to move beyond basic framework usage and start building with real engineering confidence, this is your next step.Get the Spring MVC 7.0.8 Professional Handbook now and start building applications that are secure, stable, and truly production-ready.…

Taschenbuch. Condizione: Neu. Neuware - What if your STM32 firmware could behave consistently even when the system is under stress-multiple interrupts firing, memory becoming tight, and tasks competing for CPU time And more importantly, how confident are you that your current FreeRTOS design would still remain stable in those situations This is the core idea behind Mastering FreeRTOS 11.3 on STM32 Microcontrollers. It focuses on building embedded systems that are not just functional, but predictable, secure, and stable in real-world conditions.Have you ever faced a situation where your system works perfectly during testing, but behaves unpredictably after long runtime Could it be task scheduling, interrupt priority mistakes, or hidden memory issues This book brings attention to those exact weak points.It helps you rethink FreeRTOS not just as a scheduler, but as a full system design framework where task structure, interrupt handling, and memory safety all directly affect reliability.Are your interrupts properly prioritized, or could they be blocking critical system behavior without you realizing it Is your memory usage truly safe, or are there hidden risks like stack overflow or fragmentation waiting to appear These are the kinds of practical questions the book keeps raising as you work through STM32-based designs.You start to see how small configuration choices in FreeRTOS 11.3 can have major effects on system stability. A single unsafe ISR or poorly planned task priority can change how the entire system behaves.It also pushes you to think about system behavior under pressure: What happens when CPU load increases suddenly How does your system respond when multiple events occur at once And do you actually have visibility into what is happening inside your RTOS at runtime The book encourages you to build that level of understanding.It also focuses heavily on real embedded concerns like interrupt safety, memory protection, and predictable scheduling on STM32 microcontrollers-areas where most real-world failures actually occur.So the question becomes simple: Are you building firmware that just runs, or firmware that you can trust under all conditions Mastering FreeRTOS 11.3 on STM32 Microcontrollers helps you move toward systems that are stable, secure, and predictable in real embedded environments.Take the next step and strengthen the way you design STM32-based FreeRTOS systems.…

Taschenbuch. Condizione: Neu. Neuware - Have you ever wondered why so many ESP32 firmware projects become difficult to maintain as they grow Do you feel like you have to choose between low-level performance and clean, reusable code What if you could have both What if your hardware abstraction layers (HALs) delivered zero runtime overhead while taking full advantage of modern C++26 Mastering ESP-IDF 6.1 with C++26 shows you how to build safe, efficient, and maintainable embedded firmware using the latest C++26 features alongside ESP-IDF 6.1. Instead of relying on outdated approaches, you'll learn how to design zero-cost hardware abstraction layers that improve code quality without sacrificing performance.Have you been curious about using concepts, constexpr programming, templates, compile-time programming, and strong type safety in real embedded applications Want to create reusable drivers, scalable firmware architectures, and cleaner interfaces while keeping memory usage and execution time under control This book answers those questions with practical, engineering-focused guidance.Whether you're developing IoT devices, robotics, industrial controllers, automation systems, or custom ESP32 applications, you'll discover techniques that help you write firmware that is easier to understand, easier to maintain, and built for long-term success.Inside, you'll learn how to: - Build zero-cost hardware abstraction layers with C++26- Develop reusable and maintainable embedded architectures- Write safer firmware with stronger compile-time guarantees- Optimize performance without increasing complexity- Create scalable, production-ready ESP-IDF 6.1 applicationsWhy settle for firmware that's harder to maintain when modern C++26 gives you the tools to write code that's cleaner, safer, and just as efficient Get your copy of Mastering ESP-IDF 6.1 with C++26 today and start building high-performance embedded firmware with confidence using the latest modern C++ techniques.…

Taschenbuch. Condizione: Neu. Neuware - Have you ever built a Zephyr RTOS project with west build, opened it in STM32CubeIDE 2.2, and still felt unsure what is actually happening inside the device The code compiles fine. The ELF loads. The debugger connects. But then things get confusing-threads behave differently than expected, breakpoints don't always tell the full story, and system behavior feels harder to predict than in traditional STM32 bare-metal projects.So the real question is: How do you actually understand and debug a West-compiled Zephyr 4.4 ELF binary inside STM32CubeIDE 2.2 with confidence This book is written to answer that gap.Have you ever tried stepping through Zephyr code and noticed that what you see in the debugger doesn't fully match how the system behaves in real time That's not a tool failure-it's a visibility problem. Zephyr introduces scheduling, threading, interrupts, and abstraction layers that change how execution flows compared to simple firmware.So you start asking: - Where is my thread actually executing - Why did the interrupt fire before my task - Is this a timing issue or a priority issue - What part of the system is the debugger actually showing me This book focuses on making those questions answerable.It helps you understand: - how Zephyr threads appear and behave inside STM32CubeIDE- what the West build system produces in an ELF file- how scheduling and interrupts affect debugging results- how STM32 hardware and Zephyr abstraction interact- how to interpret real runtime behavior instead of guessingBecause in real embedded systems, most problems are not compilation errors.They are execution-level problems: - timing mismatches- interrupt conflicts- stack or memory issues- scheduling delays- unexpected peripheral behaviorAnd these only make sense when you can see what the system is actually doing at runtime.Have you ever fixed a bug, only for it to reappear under different timing conditions That usually means the issue was not fully understood-only temporarily hidden.This is why Mastering Zephyr RTOS 4.4 on STM32CubeIDE 2.2 focuses on debugging as a system-level skill, not just a tool feature.You will begin to see how: - Zephyr schedules threads in real conditions- STM32 interrupt behavior affects execution order- memory layout from West builds impacts debugging- CubeIDE represents (and sometimes hides) runtime state- small configuration issues create large runtime differencesMost importantly, you will start answering one key question more reliably: What is the system actually doing right now-not just what the code says it should do If you are working with Zephyr on STM32 and want clearer, more predictable debugging inside STM32CubeIDE 2.2, this book will help you get there.Start building the ability to see and understand your firmware as it runs-not just as it compiles.…

Taschenbuch. Condizione: Neu. Neuware - Are you ready to build modern JVM applications that are cleaner, faster, and easier to maintain Have you been searching for a practical guide that combines the latest features of Kotlin 2.4 and Java 26 instead of treating them as separate technologies What if you could simplify complex business logic, design robust data contracts, and write code that remains maintainable as your applications grow This book shows you how to make the most of Kotlin 2.4 context parameters and Java 26 pattern matching while applying them to real enterprise development. Rather than focusing only on language syntax, it demonstrates how these features improve architecture, API design, validation, performance, security, cloud-native development, and interoperability across the JVM ecosystem.Inside, you'll learn how to: - Build reliable and maintainable data contracts.- Use modern pattern matching to simplify application logic.- Develop secure, scalable, and high-performance enterprise systems.- Integrate Kotlin and Java seamlessly in production environments.- Optimize applications through testing, profiling, benchmarking, and modern JVM techniques.- Modernize legacy systems using practical migration strategies.- Prepare for the future of enterprise software with AI-assisted development and emerging JVM innovations.Whether you're a Java developer adopting Kotlin, a Kotlin developer working in enterprise environments, or a software architect designing scalable systems, this book provides practical knowledge you can apply immediately.Ready to elevate your JVM development skills Start reading today and learn how to build enterprise applications that are modern, efficient, secure, and built for the future.…

Taschenbuch. Condizione: Neu. Neuware - Have you been wondering which of the latest ESP32 microcontrollers is right for your next project Curious about what makes the ESP32-S3, ESP32-P4, and ESP32-C6 stand out from previous generations Or are you looking for a clear, practical guide that helps you understand their capabilities without feeling overwhelmed The ESP32-S3, ESP32-P4 and ESP32-C6 Complete Guide is designed to answer those questions and more.Whether you're a beginner stepping into embedded systems or an experienced developer exploring the newest advancements in IoT technology, this book provides an easy-to-follow journey through the features, architecture, connectivity, programming, and real-world applications of these powerful microcontrollers.Why spend hours piecing together information from countless sources when you can have everything you need in one comprehensive guide Inside, you'll discover how to understand the strengths of each microcontroller, choose the right platform for your projects, optimize performance and power efficiency, work with modern wireless technologies, and build reliable next-generation embedded and IoT systems with confidence.The future of embedded development is here-are you ready to be part of it Whether your goal is to build smarter devices, expand your technical skills, or stay ahead in a rapidly evolving field, this book will help you get there.Get your copy today and unlock the full potential of the ESP32-S3, ESP32-P4, and ESP32-C6 for your next embedded and IoT project.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - Are you ready to move beyond simple microcontroller experiments and build practical STM32 applications Do you want to understand how GPIO, timers, interrupts, ADC, DMA, communication interfaces, memory, power management, and real-time software work together STM32 Developer Masterclass: From Microcontroller Fundamentals to Advanced Projects provides a practical path from STM32 fundamentals to advanced embedded-system development.How do you configure peripherals correctly How can you handle interrupts without creating timing problems How can DMA reduce CPU workload What is the right way to structure communication between sensors, controllers, storage devices, and other systems You will explore GPIO, timers, PWM, external interrupts, ADC, DAC, UART, SPI, I C, CAN, USB, Ethernet, DMA, memory management, and low-power techniques. You will also learn how to approach debugging, performance optimization, fault handling, watchdogs, firmware updates, and embedded security.The focus is not only on making firmware work, but on understanding how to design firmware that is reliable, maintainable, and suitable for demanding applications.What happens when a project becomes too complex for a simple main loop You will learn real-time application concepts including tasks, scheduling, priorities, queues, semaphores, mutexes, event flags, synchronization, and RTOS-based system architecture.You will also work through practical system designs involving environmental monitoring, motor control, connected IoT devices, CAN-based controllers, low-power data loggers, and multi-peripheral applications.Whether you are a student, beginner, hobbyist, embedded developer, or engineer looking to strengthen your STM32 skills, this book helps connect individual concepts into complete development workflows.Ready to build better STM32 applications and develop stronger embedded-system skills Get your copy of STM32 Developer Masterclass: From Microcontroller Fundamentals to Advanced Projects today and start building with greater confidence and technical understanding.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - Are you ready to unlock the full potential of Autodesk Maya 2027 and create professional-quality 3D projects with confidence Have you ever wondered how artists build realistic characters, detailed environments, advanced animations, and stunning visual effects for films, games, and digital experiences What if you could understand the tools, workflows, and techniques that make those creative projects possible Autodesk Maya 2027 User Guide introduces you to the latest features, workflow improvements, AI-powered tools, and performance enhancements designed to help you work smarter and more efficiently.Whether you are new to Maya or looking to improve your existing skills, this guide provides a clear path through essential modeling, texturing, animation, rendering, simulation, and production workflows.Have you struggled with understanding complex 3D processes or finding the right way to organize your projects This guide helps you build a stronger foundation by explaining not only how tools work, but also how professional artists apply them in practical production situations.Inside this guide, you will learn how to: - Navigate and customize the Maya 2027 interface for a faster workflow.- Create organized projects and manage production-ready assets.- Build detailed models using modern polygon and advanced modeling techniques.- Apply materials, textures, lighting, and rendering methods.- Develop animation workflows using keyframes, graph editing, and motion systems.- Understand character rigging, skinning, and deformation techniques.- Use AI-assisted tools and updated features to improve productivity.- Optimize scenes, troubleshoot issues, and prepare assets for professional pipelines.What if you could move beyond simply learning Maya tools and start understanding the creative process behind professional 3D production This guide is designed to help artists, students, designers, and creators develop practical skills that can be applied to real projects. With structured explanations and production-focused techniques, you can build confidence and improve the way you approach 3D creation.Are you ready to improve your workflow, expand your creative abilities, and discover what Maya 2027 can help you achieve Begin your journey today and take your 3D skills to the next level with Autodesk Maya 2027 User Guide.…

Taschenbuch. Condizione: Neu. Neuware - Are you ready to improve your civil engineering design skills and work more efficiently with the latest advancements in Autodesk Civil 3D 2027 Have you ever wondered how professional designers manage complex infrastructure projects, reduce errors, organize large amounts of design data, and deliver accurate results under tight deadlines What if you could understand the workflows, tools, and techniques that make modern civil engineering projects more efficient Mastering Autodesk Civil 3D 2027: Key Features and Workflow Improvements in Autodesk Civil 3D 2027 for Civil Engineering Design and Project Delivery is created for engineers, designers, technicians, students, and professionals who want to develop a stronger understanding of modern civil design methods and improve their project delivery skills.Are you looking to improve your ability to create surfaces, develop alignments and profiles, build corridors, manage grading designs, coordinate utilities, and produce professional documentation Do you want to understand how different Civil 3D features work together to support real engineering projects This book helps you move from simply using design tools to understanding complete professional workflows.Inside this guide, you will learn how to approach civil engineering projects with better organization, accuracy, and confidence. You will gain practical knowledge of project setup, data management, modeling techniques, design validation, documentation processes, and productivity improvements.Have you faced challenges such as outdated workflows, design inconsistencies, difficult project coordination, or time-consuming revisions This book addresses these challenges by explaining methods that help improve efficiency and support better decision-making throughout the design process.Whether you are starting your Civil 3D journey or improving your existing skills, this guide provides valuable knowledge for developing professional-level design capabilities.You will discover how modern civil engineering workflows support transportation projects, land development, utility systems, infrastructure planning, and advanced project delivery. You will also gain a better understanding of how technology, automation, and improved collaboration methods are shaping the future of civil design.Are you ready to build stronger technical skills, work smarter on engineering projects, and develop the confidence needed to handle complex civil design challenges Begin your journey with Mastering Autodesk Civil 3D 2027 and take the next step toward becoming a more efficient and capable civil engineering design professional.…

Taschenbuch. Condizione: Neu. Neuware.

Paperback. Condizione: new. Paperback. Have you ever wondered why your GPU-powered applications sometimes fail at the most unexpected moments? Why does a shader that works perfectly on one machine suddenly break on another architecture? Why do dependency conflicts appear when your NPM workspace grows larger, more complex, and more distributed?What happens when your graphics pipeline depends on precision, but your package management system depends on compatibility? This book explores the powerful connection between GLSL 3.3 development and NPM 11.18 package management, helping you understand how to organize, maintain, and resolve GPU math library dependencies across modern multi-architecture NPM workspaces.Have you struggled with managing packages that behave differently across platforms? Have you faced situations where a GPU math library introduces unexpected conflicts, where workspace dependencies become difficult to trace, or where maintaining consistency across multiple environments feels overwhelming?This guide asks the important questions every modern graphics developer and software engineer should consider: How do you build reliable GLSL 3.3 workflows when your projects rely on complex mathematical dependencies?How can NPM 11.18 workspace features help organize large-scale GPU application ecosystems?How do you create a development environment where shaders, libraries, and packages work together smoothly?What techniques can help you diagnose and resolve package conflicts before they affect production?Your GPU applications are only as strong as the systems supporting them. Understanding dependency management is just as important as understanding shader programming.Inside this book, you will explore the concepts, strategies, and problem-solving approaches needed to navigate the challenges of modern GPU development. You will learn how GLSL 3.3 fits into advanced rendering workflows, how mathematical libraries influence shader-based applications, and how NPM workspace management can provide structure and reliability for complex projects.Have you ever asked yourself why some teams can scale graphics projects effortlessly while others struggle with constant compatibility issues? The difference often comes down to architecture, organization, and the ability to manage the invisible connections between tools.This book encourages you to think beyond individual files and isolated packages. Instead, you will discover how complete development ecosystems are built-where GPU computations, mathematical operations, package dependencies, and multiple architectures operate together as one coordinated system.What if you could confidently manage complex GPU projects knowing exactly where conflicts originate and how to resolve them?Whether you are developing real-time graphics applications, experimenting with GPU acceleration, maintaining advanced JavaScript environments, or building scalable software systems, this book provides valuable insights into the challenges that appear when high-performance computing meets modern package management.Are you ready to understand the deeper relationship between GLSL 3.3 and NPM 11.18? Are you ready to take control of your GPU math libraries, improve your workspace organization, and build more dependable multi-architecture applications?Your next breakthrough in GPU development begins with mastering the systems behind the code.Start your journey today, explore the techniques inside this book, and gain the knowledge needed to confidently manage GLSL 3.3 projects, resolve NPM dependency challenges, and create stronger, more scalable GPU-driven applications. Take the next step toward becoming the developer who does not just write graphics code-but masters the entire ecosy Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. Neuware - Are your data workflows becoming too complex to manage What happens when your organization needs faster processing, smarter scheduling, and reliable automation across thousands of data operations How do you build pipelines that understand data changes, react to events, and scale without constant manual intervention Mastering Apache Airflow 3.3: Enhancing Data-Aware Orchestration Through Advanced Asset Partitioning and Scalable Workflow Scheduling is designed for engineers, data professionals, and technology teams who want to understand how modern workflow orchestration is evolving.Have you ever wondered how large-scale data platforms coordinate millions of tasks, manage changing datasets, recover from failures, and deliver accurate results on time This book provides practical knowledge for building powerful Airflow-based systems using advanced orchestration concepts, asset-driven workflows, partition management, intelligent scheduling, and enterprise-ready deployment strategies.Can your current pipelines handle the growing demands of modern data environments Inside this book, you will learn how to design efficient workflows, manage complex dependencies, optimize scheduling performance, improve reliability, and apply professional engineering practices for scalable data operations.Whether you are building analytics platforms, machine learning workflows, enterprise data pipelines, or automated business processes, this guide helps you understand the principles behind dependable orchestration and how to apply them in real projects.Are you ready to move beyond basic task automation and build smarter, data-aware workflows Discover how Apache Airflow 3.3 can help you create systems that are more adaptable, efficient, and prepared for the future of data engineering.Start building better workflows today. Get your copy of Mastering Apache Airflow 3.3 and take your data orchestration skills to the next level.…

Taschenbuch. Condizione: Neu. Neuware - Have you ever wondered how companies process millions of events every second while keeping their systems fast, reliable, and scalable How do modern applications communicate across thousands of services without losing data How do organizations manage real-time information flows while maintaining performance, security, and operational stability Mastering Apache Kafka 4.3.1: Enhancing Data-Aware Orchestration Through Advanced Asset Partitioning and Scalable Workflow Scheduling is a practical guide for engineers, developers, architects, and data professionals who want to understand how to design, optimize, and manage powerful event-driven systems.Have you ever asked yourself: How does Kafka handle massive volumes of streaming data Why are partitions so important for scalability and performance How do producers, consumers, and stream applications maintain reliability during failures How can businesses build workflows that respond instantly to changing data This book provides clear answers by explaining the architecture, techniques, and best practices behind modern Kafka deployments.Kafka is more than a messaging system; it is a foundation for building real-time data platforms that support analytics, automation, and distributed applications.Inside this guide, you will learn how Kafka works internally, how to design efficient streaming architectures, improve performance, manage failures, secure deployments, and scale systems for enterprise workloads.Whether you are building microservices, real-time analytics platforms, transaction systems, or large-scale data pipelines, this book will help you understand the decisions required to create reliable Kafka solutions.Are you ready to move beyond basic Kafka concepts and develop the knowledge needed to build production-ready streaming systems Take the next step in your Kafka journey and learn how to design scalable, efficient, and resilient event-driven architectures with confidence.…

Paperback. Condizione: new. Paperback. What does it really take to build data systems that do not just process information, but react to it the moment it is created? And more importantly, how do engineers design platforms that can scale from a simple local pipeline to handling billions of events in real time without collapsing under pressure?This book is written for that exact question.What if you could design a single streaming system that works seamlessly across Java, Python, and Scala without rewriting your entire logic for each language? What if your data pipelines could behave consistently whether they run on a local machine, a distributed cluster, or a cloud-native environment?This book focuses on exactly that shift.It challenges you to think beyond traditional batch processing and asks: how do modern systems respond to continuous data instead of static datasets? When data is no longer "loaded and processed," but instead "arrives and evolves," how should your architecture change?Through Apache Spark 4.1, you will see how real-time pipelines are constructed, maintained, and optimized using a consistent programming model across Java, Python, and Scala. But more importantly, you will understand why Spark's design decisions matter when systems move from prototypes to production-scale environments.Have you ever wondered why some streaming systems fail under load while others continue to perform predictably even under massive data spikes? The answer lies not only in infrastructure, but in how processing logic is structured, partitioned, and executed inside the engine.This book raises those questions and answers them through real implementation patterns, production-tested design approaches, and deep architectural reasoning.You will learn how Structured Streaming changes the way developers think about time, state, and continuous computation. Instead of treating streaming as an extension of batch processing, you begin to see it as a fundamentally different execution model where events drive computation, not scheduled jobs.But this is not just theory.Every concept is tied to practical engineering use cases: fraud detection systems that must react within milliseconds, IoT platforms that continuously ingest sensor data, financial systems that process market ticks in real time, and large-scale recommendation engines that update user experiences instantly.These are not abstract problems-they are daily realities in distributed data engineering. This book addresses them directly, using Spark 4.1's structured streaming engine as the foundation.You will also explore how Java, Python, and Scala integrate into a unified development model, allowing engineers to choose the language that best fits their team without sacrificing system consistency. Instead of fragmented tooling, you gain a cohesive approach to building distributed pipelines.What does it take to move from writing simple DataFrame transformations to designing resilient, fault-tolerant, production-grade streaming architectures? This book walks through that progression step by step.It does not assume prior mastery of distributed systems. Instead, it builds your understanding from core principles to advanced architectural design, ensuring that each concept reinforces the next.By the end, you will not just understand Spark-you will be able to think in Spark: how data flows, how computation is scheduled, how state is managed, and how real-time systems remain stable under pressure.If you are building systems that cannot afford delays, inconsistencies, or downtime, this is the kind of knowledge that changes how you design everything that comes after.Start here.Take the next step into building scalable, real-time data pipelines with Apache Spark 4.1 across Ja Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. Neuware - What if you could unlock the full potential of Apache Spark 4.2 and build faster, smarter, and more scalable data solutions Are you ready to understand how the latest Spark features, performance improvements, and AI-focused capabilities can transform the way you process, analyze, and manage massive amounts of data Mastering Apache Spark 4.2: Exploring the New Features, Performance Enhancements, and AI-Focused Capabilities Introduced in Apache Spark 4.2 is a practical guide for developers, data engineers, analysts, and technology professionals who want to gain deeper knowledge of modern distributed data processing.Have you ever wondered why some Spark applications run efficiently at enterprise scale while others suffer from slow execution, memory problems, or resource challenges How do experienced engineers optimize Spark workloads, design reliable pipelines, and prepare data for advanced analytics and artificial intelligence applications This book provides clear explanations and practical insights into the concepts, techniques, and strategies needed to work effectively with Apache Spark 4.2.Learn how Spark 4.2 improves data processing, query performance, streaming applications, machine learning workflows, and cloud-based deployments.Inside this guide, you will discover: - How Spark architecture enables large-scale distributed computing- How to work with Spark APIs, DataFrames, and advanced SQL techniques- How to optimize performance through execution planning, memory management, and shuffle optimization- How to process real-time data using structured streaming- How to build data pipelines for analytics, machine learning, and AI applications- How to design secure and scalable enterprise Spark platforms- How to deploy and manage Spark applications in modern environmentsAre you facing challenges with slow jobs, inefficient queries, or complex production systems This book explains how to diagnose problems, apply optimization techniques, and build more reliable Spark solutions.Whether you are upgrading from earlier Spark versions or building new data platforms, this guide helps you understand the features and practices that matter most in Apache Spark 4.2.Explore the future of data engineering, AI-ready workflows, real-time processing, and scalable analytics with a resource designed to help you develop stronger Spark skills.Get your copy of Mastering Apache Spark 4.2 today and start building efficient, modern, and production-ready data solutions.…

Paperback. Condizione: new. Paperback. Are you ready to move beyond ordinary graphics programming and discover what it truly takes to build high-performance 3D experiences powered by modern GPUs?Have you ever wondered how today's most advanced games, simulations, visual applications, and interactive environments achieve breathtaking levels of realism and speed? What separates basic rendering techniques from professional-grade GPU programming? How can you unlock the full potential of DirectX 12 and HLSL 2021 to create systems that are faster, smarter, and more efficient?3D Programming Mastery with DirectX 12 Using HLSL 2021: Leveraging HLSL 2021 Templates and Wave Intrinsics for High-Performance GPU Simulation is designed for developers, programmers, and technology enthusiasts who want to answer those questions and take control of the powerful world of modern 3D graphics programming.This book guides you into the deeper concepts behind GPU-driven development, helping you understand how DirectX 12 and HLSL 2021 work together to create efficient, scalable, and high-performance rendering and simulation solutions.What if you could write GPU programs that communicate more effectively with modern hardware? What if you could understand the techniques used to optimize parallel processing, improve simulation speed, and maximize GPU efficiency?Through practical explanations and advanced concepts, this book explores how HLSL 2021 features, templates, and wave intrinsics can transform the way you approach shader development and GPU computation. You will discover how to think like a modern graphics programmer and how to design solutions that take advantage of the incredible parallel capabilities available in today's graphics hardware.This book helps you explore these challenges with a deeper understanding of the technologies behind them.Mastering GPU programming is not only about writing code-it is about understanding how hardware, algorithms, and parallel computing work together to create extraordinary digital experiences.You will explore important concepts surrounding DirectX 12 development, shader programming, GPU optimization strategies, and simulation techniques that help bridge the gap between theoretical knowledge and real-world application.Whether you are a developer seeking to improve your graphics programming skills, a programmer interested in simulation and parallel computing, or a curious learner who wants to understand how modern 3D systems are built, this book offers valuable insights into the architecture and techniques shaping the future of interactive technology.Have you ever wanted to understand the decisions behind high-performance graphics engines? Have you wanted to know why certain approaches run smoothly while others struggle under demanding workloads? Have you been searching for a resource that explains not just what to do, but why these advanced techniques matter?This book challenges you to think differently about graphics programming-to see the GPU not just as a component, but as a powerful computing platform capable of solving complex problems at incredible speed.Are you ready to deepen your knowledge of DirectX 12? Are you prepared to explore the possibilities of HLSL 2021 and discover how advanced GPU programming techniques can transform your development workflow?The future of 3D programming belongs to developers who understand performance, parallelism, and the power of modern graphics hardware.Take the next step toward mastering advanced GPU programming. Get 3D Programming Mastery with DirectX 12 Using HLSL 2021 today and begin your journey into the techniques, concepts, and strategies that can help you create faster, more efficient, and more powerful 3D applications. This item Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Paperback. Condizione: new. Paperback. Are you ready to move beyond ordinary graphics programming and discover what it truly takes to build high-performance 3D experiences powered by modern GPUs?Have you ever wondered how today's most advanced games, simulations, visual applications, and interactive environments achieve breathtaking levels of realism and speed? What separates basic rendering techniques from professional-grade GPU programming? How can you unlock the full potential of DirectX 12 and HLSL 2021 to create systems that are faster, smarter, and more efficient?3D Programming Mastery with DirectX 12 Using HLSL 2021: Leveraging HLSL 2021 Templates and Wave Intrinsics for High-Performance GPU Simulation is designed for developers, programmers, and technology enthusiasts who want to answer those questions and take control of the powerful world of modern 3D graphics programming.This book guides you into the deeper concepts behind GPU-driven development, helping you understand how DirectX 12 and HLSL 2021 work together to create efficient, scalable, and high-performance rendering and simulation solutions.What if you could write GPU programs that communicate more effectively with modern hardware? What if you could understand the techniques used to optimize parallel processing, improve simulation speed, and maximize GPU efficiency?Through practical explanations and advanced concepts, this book explores how HLSL 2021 features, templates, and wave intrinsics can transform the way you approach shader development and GPU computation. You will discover how to think like a modern graphics programmer and how to design solutions that take advantage of the incredible parallel capabilities available in today's graphics hardware.This book helps you explore these challenges with a deeper understanding of the technologies behind them.Mastering GPU programming is not only about writing code-it is about understanding how hardware, algorithms, and parallel computing work together to create extraordinary digital experiences.You will explore important concepts surrounding DirectX 12 development, shader programming, GPU optimization strategies, and simulation techniques that help bridge the gap between theoretical knowledge and real-world application.Whether you are a developer seeking to improve your graphics programming skills, a programmer interested in simulation and parallel computing, or a curious learner who wants to understand how modern 3D systems are built, this book offers valuable insights into the architecture and techniques shaping the future of interactive technology.Have you ever wanted to understand the decisions behind high-performance graphics engines? Have you wanted to know why certain approaches run smoothly while others struggle under demanding workloads? Have you been searching for a resource that explains not just what to do, but why these advanced techniques matter?This book challenges you to think differently about graphics programming-to see the GPU not just as a component, but as a powerful computing platform capable of solving complex problems at incredible speed.Are you ready to deepen your knowledge of DirectX 12? Are you prepared to explore the possibilities of HLSL 2021 and discover how advanced GPU programming techniques can transform your development workflow?The future of 3D programming belongs to developers who understand performance, parallelism, and the power of modern graphics hardware.Take the next step toward mastering advanced GPU programming. Get 3D Programming Mastery with DirectX 12 Using HLSL 2021 today and begin your journey into the techniques, concepts, and strategies that can help you create faster, more efficient, and more powerful 3D applications.</ Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. Neuware.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.