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Learning Apache Cassandra. Build an efficient, scalable, fault-tolerant, and highly-available data layer into your application using Cassandra

Learning Apache Cassandra. Build an efficient, scalable, fault-tolerant, and highly-available data layer into your application using Cassandra

Matthew Brown

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If you're an application developer familiar with SQL databases such as MySQL or Postgres, and you want to explore distributed databases such as Cassandra, this is the perfect guide for you. Even if you've never worked with a distributed database before, Cassandra's intuitive programming interface coupled with the step-by-step examples in this book will have you building highly scalable persistence layers for your applications in no time.
  • 1. Getting up and Running
  • 2. The first table
  • 3. Organizing related data
  • 4. Beyond key-value lookup
  • 5. Establishing relationships
  • 6. Denormalizing data for maximum performance
  • 7. Working with collections
  • 8. Expanding your data models
  • 9. Aggregating time-series data
  • 10. How Cassandra distributes data
  • 11. Appendix: Peeking under the hood
  • 12. Appendix 2:Authentication and Authorization
  • Titel:Learning Apache Cassandra. Build an efficient, scalable, fault-tolerant, and highly-available data layer into your application using Cassandra
  • Autor:Matthew Brown
  • Originaler Titel:Learning Apache Cassandra. Build an efficient, scalable, fault-tolerant, and highly-available data layer into your application using Cassandra
  • ISBN:9781783989218, 9781783989218
  • Veröffentlichungsdatum:2015-02-25
  • Format:E-Book
  • Artikel-ID: e_3c6k
  • Verleger: Packt Publishing
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