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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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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

Integration with Apache Spark

This chapter will provide different options for a SQL interface for the Apache Cassandra NoSQL database using Spark CLIs. With distributed, non-relational databases such as Apache Cassandra, it's really hard to run ad hoc analytical queries (that require data aggregation). These types of queries require both a relational interface and an aggregation capability, and there are out-of-the-box options, among which Spark is one. This chapter will provide an overview of Spark architecture with its installation and configuration, along with different CLIs to perform Create, Read, Update, and Delete (CRUD) operations using any relational queries. Additionally, there is a web UI for multiple components that are integrated into the Spark architecture to understand the in-depth working of all of the tasks behind the scenes for any query with visualization...

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