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

Description

Designing Data-Intensive Applications explains the fundamental principles behind building reliable, scalable, and maintainable software systems that manage large volumes of data. The book focuses on core data system concepts rather than specific tools or frameworks.

✅ Long Description (GMC-Compliant)

Designing Data-Intensive Applications by Martin Kleppmann is a foundational text for understanding how modern data systems are designed and operated.

The book examines the architecture and trade-offs of data-intensive applications, covering topics such as data storage, replication, partitioning, consistency, fault tolerance, stream processing, and batch processing. Rather than focusing on specific technologies, it explains the underlying principles that apply across databases, distributed systems, and large-scale applications.

Written for software engineers, architects, and technical leaders, this book provides conceptual clarity to help readers reason about system design decisions in real-world production environments.

This publication is intended for educational and professional reference use.

📘 Book Details

• Title: Designing Data-Intensive Applications

• Subtitle: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

• Author: Martin Kleppmann

• Publisher: O’Reilly Media

• Publication Year: 2017

• Language: English

• Format: Paperback

• Pages: ~616 pages

🔢 ISBN Information (Paperback)

• ISBN-13: 978-1-4493-7332-0

• ISBN-10: 1449373321