TY  - BOOK
AU  - Kleppmann, Martín.
TI  - Designing data-intensive applications: the big ideas behind reliable, scalable, and maintainable systems 
SN  - 9781449373320
AV  - QA 76 .76 .A76 .A65 .K612 2017 
PY  - 2017///
CY  - Boston
PB  - O'reilly
KW  - Programas de computadora
KW  - Diseño de páginas Web
KW  - Bases de datos
KW  - Diseño
N1  - Part 1. Foundations of data systems. - 1. Reliable, scalable, and maintainable applications, 3. --; Data models and query languages, 27. --; 3. Storage and retrieval, 69. --; 4. Encoding and evolutuion, 111. --; Part 2. Distributed data. - 5. Replication, 151. --; 6. Partitioning, 199. --; 7. Transactions, 221. --; 8. The trouble with distributed systems, 273. --; 9. Consistency and consensus, 321. --; Part 3. Derived data. - 10. Batch processing, 389. --; 11. Stream processing, 439. --; 12. The future of data systems, 489
N2  - Want to know how the best software engineers and architects structure their applications to make them scalable, reliable, and maintainable in the long term? This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Tools at your disposal are evolving and demands on applications are increasing, but the principles behind them remain the same. You'll learn how to determine what kind of tool is appropriate for which purpose, and how certain tools can be combined to form the foundation of a good application architecture. You'll learn how to develop an intuition for what your systems are doing, so that you're better able to track down any problems that arise
ER  -