Cassandra High Performance Cookbook - Second Edition by Gurashish Brar

Author by: Gurashish Brar

File Name: cassandra-high-performance-cookbook-second-edition.pdf


Genres: Nonfiction

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Key Features
  • Over 200 hands-on recipes to help you efficiently administer, design, and optimize large-scale Apache Cassandra Clusters
  • From a seasoned author, learn how to set up, use, and troubleshoot globally distributed large-scale databases
  • Discover how to create efficient data models and access patterns
Book DescriptionApache 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 tunable 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 datacenters. These recipes provide a detailed and hands-on introduction to the CQL language through the CQL shell and helps introduce 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 tunable 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 datacenter Cassandra cluster.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
About the AuthorGurashish Brar is currently Principal Engineer at Bloomreach, where he helps design and manages the globally distributed infrastructure that powers the Bloomreach’s big data e-commerce platform. He has designed an elastic Cassandra and SolrCloud solution that automatically scales to hundreds of clusters while maintaining a consistent view of data. His work has been presented at the Cassandra Summit and Lucene Revolution conferences.


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