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Cassandra: The Definitive Guide, (Revised) Third Edition - Jeff Carpenter - Bog

Bag om Cassandra: The Definitive Guide, (Revised) Third Edition

"Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssabdra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility"--

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781492097143
  • Indbinding:
  • Paperback
  • Sideantal:
  • 450
  • Udgivet:
  • 31. januar 2022
  • Udgave:
  • 3
  • Størrelse:
  • 234x178x25 mm.
  • Vægt:
  • 760 g.
  • 8-11 hverdage.
  • 9. december 2024
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  • BLACK WEEK

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Beskrivelse af Cassandra: The Definitive Guide, (Revised) Third Edition

"Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssabdra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility"--

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