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Cassandra: The Definitive Guide, (Revised) Third Edition

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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  • Språk:
  • Engelska
  • ISBN:
  • 9781492097143
  • Format:
  • Häftad
  • Sidor:
  • 450
  • Utgiven:
  • 31. januari 2022
  • Utgåva:
  • 3
  • Mått:
  • 234x178x25 mm.
  • Vikt:
  • 760 g.
  I lager
Leveranstid: 4-7 vardagar
Förväntad leverans: 8. januari 2025
Förlängd ångerrätt till 31. januari 2025
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Beskrivning av 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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