Cassandra High Performance Cookbook - Second Edition

Easily analyze big data with frameworks such as Hadoop, Hive, Presto, and Spark

Cassandra High Performance Cookbook - Second Edition

Cookbook
Gurashish Brar

Easily analyze big data with frameworks such as Hadoop, Hive, Presto, and Spark
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Book Details

ISBN 139781783550562
Paperback332 pages

Book Description

Apache Cassandra is a fault-tolerant, distributed data store, which offers linear scalability allowing it to be a storage platform for large high volume websites. It’s master less and symmetric architecture provides easy scalability and high availability. Using the tuneable consistency the same Cassandra cluster can satisfy a variety of application requirements, for example very high availability and guaranteed consistency.

This book provides detailed recipes starting from how to set up a single node Cassandra cluster to more complex installations involving multiple nodes and multiple datacentres. The recipes provide a detailed and hands-on introduction to the CQL language through the CQL shell and introduces the Java and Python drivers for API access.

The book provides detailed coverage on how to tune Cassandra to get the best performance and explains the tuneable consistency, availability, and partition tolerance through working example code snippets.

The recipes demonstrate how to design a data model and schema to solve a variety of application requirements. This book introduces how to use Cassandra with big data analytics frameworks such as Hadoop and Spark.

A significant portion of the book deals with recipes on administering, monitoring, and automating operations tasks to run a large-scale multi datacentre Cassandra cluster.

Table of Contents

What You Will Learn

  • Design and set up a Cassandra cluster in single and multiple data center environments
  • Interact with Cassandra using the versatile and powerful command line CQLSH
  • Write programs to access data in Cassandra
  • Tune a Cassandra cluster and your programs to get the best performance
  • Get to know how to model data to optimize storage and access
  • Perform big data analytics using Cassandra with Hadoop, Spark, and Presto

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Table of Contents

Book Details

ISBN 139781783550562
Paperback332 pages
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