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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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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

Installing Cassandra

Now that you're acquainted with Cassandra's substantial powers, you're no doubt chomping at the bit to try it out. Happily, Cassandra is free, open source, and very easy to get running:

Since some of the features are specific to Cassandra 3.0, we will be installing the latest version of Cassandra 3.0.x available for each OS. Also since it is easier to add apt and yum repositories from DataStax, we will be using the DataStax Community version of Cassandra wherever possible. DataStax Community is open source Apache Cassandra with a few added features.

You have been reading a chapter from
Learning Apache Cassandra - Second Edition
Published in: Apr 2017
Publisher:
ISBN-13: 9781787127296
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