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Mastering Apache Cassandra 3.x

You're reading from   Mastering Apache Cassandra 3.x An expert guide to improving database scalability and availability without compromising performance

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131499
Length 348 pages
Edition 3rd Edition
Languages
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Authors (2):
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Aaron Ploetz Aaron Ploetz
Author Profile Icon Aaron Ploetz
Aaron Ploetz
Tejaswi Malepati Tejaswi Malepati
Author Profile Icon Tejaswi Malepati
Tejaswi Malepati
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Toc

Table of Contents (12) Chapters Close

Preface 1. Quick Start FREE CHAPTER 2. Cassandra Architecture 3. Effective CQL 4. Configuring a Cluster 5. Performance Tuning 6. Managing a Cluster 7. Monitoring 8. Application Development 9. Integration with Apache Spark 10. References 11. Other Books You May Enjoy

An overview of Cassandra data modeling

Understanding how Apache Cassandra organizes data under the hood is essential to knowing how to use it properly. When examining Cassandra's data organization, it is important to determine which version of Apache Cassandra you are working with. Apache Cassandra 3.0 represents a significant shift in the way data is both stored and accessed, which warrants a discussion on the evolution of CQL.

Before we get started, let's create a keyspace for this chapter's work:

CREATE KEYSPACE packt_ch3 WITH replication =
{'class': 'NetworkTopologyStrategy', 'ClockworkAngels':'1'};

To preface this discussion, let's create an example table. Let's assume that we want to store data about a music playlist, including the band's name, albums, song titles, and some additional data about the songs...

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