{"product_id":"the-python-engineers-guide-to-data-intensive-applications-designing-scalable-reliable-and-distributed-systems-for-big-data-9798182316569","title":"The Python Engineer's Guide to Data-Intensive Applications: Designing Scalable, Reliable, and Distributed Systems for Big Data","description":"\u003cp\u003e • Author(s): Peter L. Walters\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Database Administration \u0026amp; Management\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe Python Engineer's Guide to Data-Intensive Applications\u003c\/p\u003e\u003cp\u003eModern applications generate more data than ever before. Building systems that can process, store, and scale that data efficiently is one of the greatest challenges facing software engineers today. The Python Engineer's Guide to Data-Intensive Applications provides a practical roadmap for designing robust, high-performance systems capable of handling real-world workloads.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhether you're developing analytics platforms, cloud-native services, streaming pipelines, or distributed applications, this book bridges the gap between Python programming and large-scale system architecture. Complex concepts are explained in clear, approachable language, making advanced topics accessible without sacrificing technical depth.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhat Makes This Book Different?\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eUnlike theory-heavy references, this guide focuses on practical engineering principles and Python-based solutions used in modern production environments. It combines software architecture, distributed systems, databases, messaging systems, scalability patterns, and reliability techniques into one comprehensive resource designed specifically for developers.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eInside This Book\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFoundations of data-intensive systems and scalability principles\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eData models, storage engines, and database architectures\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eReplication, partitioning, and fault tolerance strategies\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDistributed systems concepts explained with practical examples\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEvent-driven architectures and messaging systems\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eStream processing and batch processing frameworks\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDesigning reliable, maintainable, and observable applications\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003ePerformance optimization and scalability techniques\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBuilding resilient cloud-native applications with Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eReal-world architectural patterns and best practices\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWho Is This Book For?\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePython developers seeking to build large-scale applications\u003c\/li\u003e\n\u003cli\u003eBackend engineers and software architects\u003c\/li\u003e\n\u003cli\u003eData engineers and analytics professionals\u003c\/li\u003e\n\u003cli\u003eDevOps and cloud practitioners\u003c\/li\u003e\n\u003cli\u003eComputer science students and technology enthusiasts\u003c\/li\u003e\n\u003cli\u003eAnyone looking to understand how modern distributed systems work\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBuild Systems That Scale. Solve Problems That Matter.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFrom databases and distributed computing to reliability and performance, The Python Engineer's Guide to Data-Intensive Applications equips you with the knowledge and practical insights needed to design systems that remain fast, scalable, and dependable as data grows.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIf you're ready to move beyond writing code and start engineering systems that power modern applications, this book belongs on your shelf.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":48214449225879,"sku":"9798182316569","price":2694.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798182316569.webp?v=1788729883","url":"https:\/\/atlanticbooks.com\/products\/the-python-engineers-guide-to-data-intensive-applications-designing-scalable-reliable-and-distributed-systems-for-big-data-9798182316569","provider":"Atlantic Books","version":"1.0","type":"link"}