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Cassandra: The Definitive Guide, (Revised) Third Edition

About 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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  • Language:
  • English
  • ISBN:
  • 9781492097143
  • Binding:
  • Paperback
  • Pages:
  • 450
  • Published:
  • January 30, 2022
  • Edition:
  • 3
  • Dimensions:
  • 234x178x25 mm.
  • Weight:
  • 760 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 5, 2024

Description of 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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