By Jeff Carpenter,Eben Hewitt
Imagine what you'll do if scalability wasn't an issue. With this hands-on consultant, you’ll learn the way the Cassandra database administration procedure handles 1000's of terabytes of knowledge whereas final hugely on hand throughout a number of info facilities. This extended moment edition—updated for Cassandra 3.0—provides the technical information and functional examples you want to positioned this database to paintings in a creation environment.
Authors Jeff wood worker and Eben Hewitt display the benefits of Cassandra’s non-relational layout, with designated awareness to information modeling. If you’re a developer, DBA, or program architect trying to clear up a database scaling factor or future-proof your program, this advisor is helping you harness Cassandra’s velocity and flexibility.
- Understand Cassandra’s disbursed and decentralized structure
- Use the Cassandra question Language (CQL) and cqlsh—the CQL shell
- Create a operating info version and examine it with an an identical relational model
- Develop pattern purposes utilizing customer drivers for languages together with Java, Python, and Node.js
- Explore cluster topology and find out how nodes trade data
- Maintain a excessive point of functionality on your cluster
- Deploy Cassandra on web site, within the Cloud, or with Docker
- Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene
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Cassandra: The Definitive Guide: Distributed Data at Web Scale by Jeff Carpenter,Eben Hewitt