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Apache Cassandra Essentials

You're reading from   Apache Cassandra Essentials Create your own massively scalable Cassandra database with highly responsive database queries

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Product type Paperback
Published in Nov 2015
Publisher Packt
ISBN-13 9781783989102
Length 172 pages
Edition 1st Edition
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Author (1):
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Nitin Padalia Nitin Padalia
Author Profile Icon Nitin Padalia
Nitin Padalia
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Background

Cassandra's design was based on Google's Bigtable and Amazon's DynamoDB, and it was developed at Facebook. Later on, it was open sourced to Apache Foundation. It is a NoSQL nonrelational database. While working with Cassandra, we need not worry about normalization of our tables, as Cassandra promotes denormalization of your database tables. In Cassandra, the database schema is designed based on the data that you would be reading from or writing to Cassandra.

Cassandra focuses on availability and partition tolerance among consistency, availability, and partition tolerance of the CAP theorem by Brewer. The CAP theorem states that, among consistency, availability, and partition tolerance, you can pick only two at a time. Here, consistency means when you read from or write to any node of the cluster, you should get the same up-to-date data. Availability refers to the fact that we should be able to access the cluster even if some node in the cluster is down, and partition...

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