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Cassandra: The Definitive Guide - 3rd Edition | O'Reilly
Distributed Data at Web Scale
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In Collaboration With
Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to:
01
Design and develop apps that leverage Casssandra’s blazing fast performance, petabyte-level scalability, and carrier-grade durability
02
Create a working data model
03
Use the Cassandra Query Language (CQL) and the CQL shell
04
Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes
05
Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
About the Authors
Jeff Carpenter is a software engineer and developer advocate at DataStax, where he leverages his background in system architecture, microservices, and Apache Cassandra to help empower developers and operations engineers to build distributed systems that are scalable, reliable, and secure.
Eben Hewitt is the CTO and chief architect at Sabre Hospitality, where he’s responsible for the technology strategy and for designing large-scale, mission-critical systems and leading teams to build them. He has served as CTO at one of the world’s largest hotel companies and as CIO of O’Reilly
#CassandraChampions
"If you want 5X a faster-scaling operation or you want to use Virtual Table or you want to use audit logging for security reasons, then Cassandra 4.0 has all these cool features."
“The goal of Cassandra 4.0, since the beginning, has been simple: to run it in production from day one of the release. Over 1,000 bugs being identified and fixed. Many of these only surfaced when we were running the largest scale production workloads in the world.”
"Apache Cassandra is a highly scalable, fast, and reliable database, and running it on Kubernetes removes many of the hurdles around installation, customization, and maintenance."
