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| title | linkTitle | weight | breadcrumbs |
|---|---|---|---|
| Table of Content | Table of Content | 10 | false |
Preface
Part I: Foundations of Data Systems
- 1. Tradeoffs 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
- 11. Batch Processing (WIP)
- 12. Stream Processing (WIP)
- 13. Doing the Right Thing (WIP)
