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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

Summary

This chapter was designed with a specific goal in mind—that of bridging the knowledge gap between Apache Cassandra DBAs and software developers. Often, developers only have experience with relational databases, and sometimes not even that much.

This chapter was as much about educating developers as it was about providing perspective for the DBAs. That is to say, as a DBA sometimes it is important to see the world through the eyes of your dev team.

We started out in this chapter by covering correct use cases and database selection. Then we began to discover the DataStax Java driver, its behaviors and configurations, and how it interacts with Apache Cassandra.

Finally, we built a series of short programs of increasing complexity. Each program used the same connection class, and iteratively explained how to get from problem definition to program execution.

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