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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

Effective CQL

In this chapter, we will examine common approaches to data modeling and interacting with data stored in Apache Cassandra. This will involve us taking a close look at the Cassandra Query Language, otherwise known as CQL. Specifically, we will cover and discuss the following topics:

  • The evolution of CQL and the role it plays in the Apache Cassandra universe
  • How data is structured and modeled effectively for Apache Cassandra
  • How to build primary keys that facilitate high-performing data models at scale
  • How CQL differs from SQL
  • CQL syntax and how to solve different types of problems using it

Once you have completed this chapter, you should have an understanding of why data models need to be built in a certain way. You should also begin to understand known Cassandra anti-patterns and be able to spot certain types of bad queries. This should help you to build scalable...

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