Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems /
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and mainteinability. In addition, we have an overwhelming variet of tools, including relational databases, NoSQL datastores, stream o...
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| Format: | Book |
| Language: | English |
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Boston ; India :
O'Reilly Media ; Shroff Publishers,
2017 [ninth Indian reprinted 2022, thirteenth Indian reprint 2025].
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| Edition: | First edition. |
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| Classic Catalogue: | View this record in Classic Catalogue |
Table of Contents:
- Part 1. Foundations of data systems. Reliable, scalable, and maintainable applications
- Data models and query languages
- Storage and retrieval
- Encoding and evolutuion
- Part 2. Distributed data. Replication
- Partitioning
- Transactions
- The trouble with distributed systems
- Consistency and consensus
- Part 3. Derived data. Batch processing
- Stream processing
- The future of data systems.