distributed-systems
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Designing Data-Intensive Applications - In-Depth Summary
Chapter 1: Reliable, Scalable, and Maintainable Applications
Chapter 2: Data Models and Query Languages
Chapter 3: Storage and Retrieval
Chapter 4: Encoding and Evolution
Chapter 5: Replication
Chapter 6: Partitioning
Chapter 7: Transactions
Chapter 8: The Trouble with Distributed Systems
Chapter 9: Consistency and Consensus
Chapter 10: Batch Processing
Chapter 11: Stream Processing
Chapter 12: The Future of Data Systems
Key Concepts Glossary
Designing Data-Intensive Applications