9781098115166-1098115163-Cassandra: The Definitive Guide: Distributed Data at Web Scale

Cassandra: The Definitive Guide: Distributed Data at Web Scale

ISBN-13: 9781098115166
ISBN-10: 1098115163
Edition: 3
Author: Eben Hewitt, Jeff Carpenter
Publication date: 2020
Publisher: O'Reilly Media
Format: Paperback 426 pages
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Book details

ISBN-13: 9781098115166
ISBN-10: 1098115163
Edition: 3
Author: Eben Hewitt, Jeff Carpenter
Publication date: 2020
Publisher: O'Reilly Media
Format: Paperback 426 pages

Summary

Cassandra: The Definitive Guide: Distributed Data at Web Scale (ISBN-13: 9781098115166 and ISBN-10: 1098115163), written by authors Eben Hewitt, Jeff Carpenter, was published by O'Reilly Media in 2020. With an overall rating of 4.5 stars, it's a notable title among other Data Modeling & Design (Databases & Big Data) books. You can easily purchase or rent Cassandra: The Definitive Guide: Distributed Data at Web Scale (Paperback) from BooksRun, along with many other new and used Data Modeling & Design books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $7.14.

Description

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, youâ??ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third editionâ??updated for Cassandra 4.0â??provides the technical details and practical examples you need to put this database to work in a production environment.
Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandraâ??s nonrelational design, with special attention to data modeling. If youâ??re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandraâ??s speed and flexibility. Understand Cassandraâ??s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlshâ??the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data

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