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designing-data-intensive-applications's Introduction

Designing Data-Intensive Applications

  • The big ideas behind reliable, scalable, and maintainable systems

Part 1. Foundations of Data Systems

What Date Progress
1. Reliable, Scalable, and Maintainable Applications 21.10.11
2. Data Models and Query Languages 21.10.18
3. Storage and Retrieval 21.10.25
4. Encoding and Evolution 21.11.02

Part 2. Distributed Data

What Date Progress
5. Replication 21.11.10
6. Partitioning 21.11.17
7. Transactions 21.12.22
8. The Trouble with Distributed Systems 22.01.03
9. Consistency and Consensus 22.01.24

Part 3. Derived Data

What Date Progress
10. Batch Processing 22.02.22
11. Stream Processing 22.03.03
12. The Future of Data Systems

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