Cassandra: The Definitive Guide: Distributed Data at Web Scale
by Eben Hewitt, Jeff Carpenter
No club is reading this yet — be the first to start one
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 expanded second edition—updated for Cassandra 3.0—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 Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you 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
- Develop sample applications using client drivers for languages including Java, Python, and Node.js
- Explore cluster topology and learn how nodes exchange data
- Maintain a high level of performance in your cluster
- Deploy Cassandra on site, in the Cloud, or with Docker
- Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene
Discuss Cassandra: The Definitive Guide: Distributed Data at Web Scale with other readers
Join or start a book club for Cassandra: The Definitive Guide: Distributed Data at Web Scale on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.
Frequently asked questions
How do I join a book club for Cassandra: The Definitive Guide: Distributed Data at Web Scale?
Sign up free on Readfeed, then browse public clubs or start your own club with Cassandra: The Definitive Guide: Distributed Data at Web Scale as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.
Can I discuss Cassandra: The Definitive Guide: Distributed Data at Web Scale with other readers online?
Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Cassandra: The Definitive Guide: Distributed Data at Web Scale with readers worldwide — whether your club is virtual, in-person, or hybrid.
Is Readfeed free?
Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.