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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Paperback) ‎ 978-1449373320

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Paperback) ‎ 978-1449373320

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

  • Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
  • Make informed decisions by identifying the strengths and weaknesses of different tools
  • Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
  • Understand the distributed systems research upon which modern databases are built
  • Peek behind the scenes of major online services, and learn from their architectures
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Paperback)
Original price was: $37.00.Current price is: $31.45.
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Description

Uncover the Foundation of Modern System Design

Dive into the world of reliable, scalable, and maintainable system architectures with Designing Data-Intensive Applications. This paperback is a definitive guide for anyone eager to understand how contemporary data systems are built to handle massive volumes, complex workflows, and the growing demands of modern technology. By exploring insightful concepts and practical applications, this book equips readers to tackle real-world challenges with confidence.

Why This Book Stands Out

Unlike other resources that merely skim the surface, this book delves deep into the core principles required to design robust systems. It combines foundational theory with actionable knowledge, all presented in a language that’s easy to grasp without diluting technical accuracy. Whether you’re a software architect, system engineer, or developer, these pages unlock the secrets to building data-intensive systems that last.

Key topics covered include:

  • Data modeling and storage solutions
  • Distributed systems and their complexities
  • Scalable architecture for real-life applications
  • Consistency, fault tolerance, and reliability essentials

A Must-Have for Tech Professionals and Enthusiasts

Author Martin Kleppmann uses extensive experience and industry insights to make this book a pivotal resource for both beginners and experts. With detailed examples, case studies, and clear explanations of theoretical concepts, Designing Data-Intensive Applications empowers you to think critically about how systems work—and, more importantly, how to make them work better. It’s an indispensable addition to the bookshelf of developers, system architects, data engineers, and technical leaders alike.

Get Started Today

Whether you’re looking to enhance your knowledge, embark on a new project, or future-proof your skills, this book will set you ahead of the curve. Perfectly suited for tech enthusiasts and professionals alike, Designing Data-Intensive Applications is your gateway to mastering the art of designing efficient, scalable, and maintainable systems. Grab your copy today and unlock the blueprint to building systems that power the modern world.

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