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SUMMARY.md
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Summary
Preface
Part I: Foundations of Data Systems
1. Trade-offs in Data Systems Architecture
2. Defining Nonfunctional Requirements
3. Data Models and Query Languages
4. Storage and Retrieval
5. Encoding and Evolution
Part II: Distributed Data
6. Replication
7. Partitioning
8. Transactions
9. The Trouble with Distributed Systems
10. Consistency and Consensus
Part III: Derived Data
10. Batch Processing
11. Stream Processing
12. Do the right thing
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