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Cassandra: The Definitive Guide, (Revised) Third Edition
Cassandra: The Definitive Guide, (Revised) Third Edition
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78,32 €
-30%
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111,89 €
  • Išsiųsime per 12–18 d.d.
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 K8ssandra--provides technical details and practical examples to help you put this database to work in a product…
  • Leidėjas:
  • ISBN-10: 1492097144
  • ISBN-13: 9781492097143
  • Formatas: 17.8 x 23.3 x 2.2 cm, minkšti viršeliai
  • Kalba: Anglų

Cassandra: The Definitive Guide, (Revised) Third Edition (el. knyga) (skaityta knyga) | knygos.lt

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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 K8ssandra--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.

  • Understand Cassandra's distributed and decentralized structure
  • Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell)
  • Create a working data model and compare it with an equivalent relational model
  • Design and develop applications using client drivers
  • Explore cluster topology and learn how nodes exchange data
  • Maintain a high level of performance in your cluster
  • Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes
  • Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
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  • Autorius: Jeff Carpenter
  • Leidėjas:
  • ISBN-10: 1492097144
  • ISBN-13: 9781492097143
  • Formatas: 17.8 x 23.3 x 2.2 cm, minkšti viršeliai
  • Kalba: Anglų

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 K8ssandra--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.

  • Understand Cassandra's distributed and decentralized structure
  • Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell)
  • Create a working data model and compare it with an equivalent relational model
  • Design and develop applications using client drivers
  • Explore cluster topology and learn how nodes exchange data
  • Maintain a high level of performance in your cluster
  • Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes
  • Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene

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