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Welcome to DDIA notes

These notes provide chapter-by-chapter breakdowns of Martin Kleppmann’s seminal book “Designing Data-Intensive Applications,” helping you master the principles of modern data systems.
This documentation site is designed as a companion to the book, offering practical insights, visual diagrams, and real-world examples to deepen your understanding of data-intensive systems.

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What you’ll learn

This comprehensive guide covers everything you need to build reliable, scalable, and maintainable data systems:

Database internals

Understand how databases store and retrieve data, from hash indexes to B-trees

Distributed systems

Master replication, partitioning, and consensus algorithms

Data processing

Learn batch and stream processing frameworks and patterns

System design

Apply trade-offs and patterns to real-world architecture decisions

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Key features

Each chapter is thoroughly explained with clear examples and practical insights that go beyond the book.
Complex concepts are illustrated with Mermaid diagrams to help you visualize data flow, system architecture, and distributed patterns.
Understand how these principles apply to production systems with real-world examples and trade-off analysis.
From reliability and scalability fundamentals to advanced consensus algorithms and stream processing frameworks.

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Explore the three parts

The book is organized into three major sections that build upon each other:

Part I: Foundations

Master the fundamentals of data systems including reliability, scalability, data models, storage engines, and encoding formats.Chapters 1-4

Part II: Distributed Data

Learn how to distribute data across multiple machines with replication, partitioning, transactions, and consensus.Chapters 5-9

Part III: Derived Data

Explore batch and stream processing systems for deriving insights and building integrated data platforms.Chapters 10-12

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Get started

1

Learn about the book

Read about the book to understand its structure and how to use these notes effectively.
2

Start with foundations

Begin with Chapter 1 to build your understanding of reliable, scalable, and maintainable applications.
3

Progress through parts

Work through each part sequentially to build a comprehensive understanding of data-intensive systems.

Ready to dive in?

Learn more about how to use these notes and the book’s structure

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