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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
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Concepts
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Author (1):
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Sandeep Yarabarla Sandeep Yarabarla
Author Profile Icon Sandeep Yarabarla
Sandeep Yarabarla
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Table of Contents (15) Chapters Close

Preface 1. Getting Up and Running with Cassandra FREE CHAPTER 2. The First Table 3. Organizing Related Data 4. Beyond Key-Value Lookup 5. Establishing Relationships 6. Denormalizing Data for Maximum Performance 7. Expanding Your Data Model 8. Collections, Tuples, and User-Defined Types 9. Aggregating Time-Series Data 10. How Cassandra Distributes Data 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

Wrapping up

The first nine chapters of this book were devoted to learning CQL's major features and how to effectively use them. Chapter 10, How Cassandra Distributes Data, explored the special issues that application developers must keep in mind when using a distributed database such as Cassandra. In Appendix A, Peeking under the Hood, we took a look at the low-level data structures that were once part of the daily lives of Cassandra developers but now serve as an internal data structure underlying the more powerful abstractions of CQL. And, in this Appendix, you learned about the tools Cassandra gives you to keep your deployment secure.

This brings us to the end of the topics we set out to cover in this book. You should now be fully prepared to take advantage of Cassandra's powerful feature set, high scalability, and resilience to failure in your own applications. You know that Cassandra is better suited...

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