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Designing Data-Intensive Applications

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1K+
First published
2017
Pages
613
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About this book

Designing Data-Intensive Applications is a 2017 book by Martin Kleppmann, a researcher in distributed systems. It explains the ideas behind the systems that store and process large amounts of data, and what to weigh when choosing between them.

It starts with reliability, scalability and maintainability, then covers data models and query languages, storage and retrieval, encoding, replication, partitioning, transactions, consistency and consensus, and finally batch and stream processing. It is aimed at software engineers who build or run data systems.

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About the author

Martin Kleppmann - BDeBooks
Martin Kleppmann

Designing Data-Intensive Applications, published by O'Reilly in 2017, works through what happens once data outgrows a single machine: replication, partitioning, transactions, consensus, batch and stream processing, and the guarantee each one actually gives you.

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Book facts

First published
2017
Reading time
About 15 hours
Pages
613
Language
English
Formats
PDF, EPUB, MOBI, Read online