By Gurashish Brar
- Over two hundred hands-on recipes that can assist you successfully administer, layout, and optimize large-scale Apache Cassandra Clusters
- From a professional writer, how to manage, use, and troubleshoot globally disbursed large-scale databases
- Discover the way to create effective info types and entry patterns
Apache Cassandra is a fault-tolerant, allotted info shop, which bargains linear scalability permitting it to be a garage platform for big excessive quantity web pages. It’s grasp much less and symmetric structure presents effortless scalability and excessive availability. utilizing the tunable consistency a similar Cassandra cluster can fulfill numerous program specifications, for instance very excessive availability and assured consistency.
This publication offers particular recipes ranging from the way to manage a unmarried node Cassandra cluster to extra complicated installations related to a number of nodes and a number of datacenters. those recipes offer an in depth and hands-on advent to the CQL language during the CQL shell and is helping introduce the Java and Python drivers for API access.
The e-book presents special assurance on tips to track Cassandra to get the simplest functionality and explains the tunable consistency, availability, and partition tolerance via for instance code snippets.
The recipes show how one can layout a knowledge version and schema to resolve various program necessities. This booklet introduces the best way to use Cassandra with substantial facts analytics frameworks comparable to Hadoop and Spark.
A good portion of the booklet offers with recipes on administering, tracking, and automating operations projects to run a large-scale multi datacenter Cassandra cluster.
What you'll learn
- Design and arrange a Cassandra cluster in unmarried and a number of information heart environments
- Interact with Cassandra utilizing the flexible and robust command line CQLSH
- Write courses to entry information in Cassandra
- Tune a Cassandra cluster and your courses to get the simplest performance
- Get to understand easy methods to version facts to optimize garage and access
- Perform substantial facts analytics utilizing Cassandra with Hadoop, Spark, and Presto
About the Author
Gurashish Brar is at present vital Engineer at Bloomreach, the place he is helping layout and manages the globally disbursed infrastructure that powers the Bloomreach’s great information e-commerce platform. He has designed an elastic Cassandra and SolrCloud answer that immediately scales to enormous quantities of clusters whereas protecting a constant view of information. His paintings has been provided on the Cassandra Summit and Lucene Revolution conferences.
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