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The Ultimate Guide to Designing Data Intensive Applications: Scalable Systems, Real-Time Processing, and Architecture Patterns for Modern Data Engineering and Distributed Systems

The Ultimate Guide to Designing Data Intensive Applications: Scalable Systems, Real-Time Processing, and Architecture Patterns for Modern Data Engineering and Distributed Systems

          
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About the Book

The Ultimate Guide to Designing Data-Intensive Applications Architect Scalable, Resilient, and Real-Time Systems with Modern Data Engineering PrinciplesAre you ready to build data systems that actually scale and stay reliable under pressure? In the era of big data, AI, and real-time analytics, understanding how to design data-intensive applications is more critical than ever. Whether you're processing billions of events per day, building a real-time dashboard, or architecting a global messaging platform, this book is your end-to-end blueprint for building modern, distributed data systems that just work. What You'll Learn Inside: Foundations of Data Systems Understand batch vs. stream processing, latency vs. throughput trade-offs, and the core architecture of scalable systems. Distributed System Design Explore partitioning, sharding, replication strategies, and how the CAP theorem applies in the real world. Storage, Formats & Serialization Choose the right data models, understand NoSQL vs. SQL, and master formats like Parquet, Avro, and Protobuf. Real-Time & Batch Data Processing Build production-ready pipelines with Kafka, Spark, Flink, Airflow, and more. Caching, Transactions, and Concurrency Optimize for performance, manage distributed transactions, and handle race conditions. Observability, Security, and High Availability Learn how to make your systems observable, reliable, and compliant-with built-in fault tolerance and resilience. AI, Data Mesh, and Future Architectures Stay ahead of the curve with insights into data mesh, serverless, cloud-native stacks, and how AI is changing the way we build data platforms. Who This Book Is For: Data Engineers & Architects Backend Developers working with large-scale systems DevOps & Site Reliability Engineers Anyone building data-driven platforms or real-time applications Whether you're launching a new platform or modernizing legacy infrastructure, this book delivers the real-world patterns, frameworks, and examples you need to design systems that are scalable, observable, and built for the future. BONUS: Includes decision-making frameworks, case studies, tool selection cheat sheets, and career growth roadmaps.If you're serious about building data systems that scale with clarity and confidence, this is the only guide you'll need.


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Product Details
  • ISBN-13: 9798291046357
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 194
  • Spine Width: 10 mm
  • Weight: 463 gr
  • ISBN-10: 8291046352
  • Publisher Date: 04 Jul 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Scalable Systems, Real-Time Processing, and Architecture Patterns for Modern Data Engineering and Distributed Systems
  • Width: 216 mm


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