Designing Data-Intensive Applications 2nd Edition

About the Book

Designing Data-Intensive Applications by Martin Kleppmann provides a comprehensive guide for engineering reliable, scalable, and maintainable data systems. The text examines core trade-offs in modern data architecture, covering topics from storage engines to distributed system design.

Key Concepts

Chapters

1. 01

   Trade-Offs in Data Systems Architecture

2. 02

   Defining Nonfunctional Requirements

3. 03

   Data Models and Query Languages

4. 04

   Storage and Retrieval

5. 05

   Encoding and Evolution

6. 06

   Replication

7. 07

   Sharding

8. 08

   Transactions

9. 09

   The Trouble with Distributed Systems

10. 10

    Consistency and Consensus

11. 11

    Batch processing

12. 12

    Stream Processing

13. 13

    A Philosophy of Streaming Systems

14. 14

    Doing the Right Thing

Applied in Practice