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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

Summary

In this chapter, you explored the reasons to choose Cassandra from among the many databases available, and having determined that Cassandra is a great choice, you installed it on your development machine.

You had your first taste of the Cassandra Query Language when you issued your first few commands via the CQL shell in order to create a keyspace table, and insert and read data. You're now ready to begin working with Cassandra in earnest.

In the next chapter, we'll begin building the MyStatus application, starting out with a simple table to model users. We'll cover a lot more CQL commands, and before you know it, you'll be reading and writing data like a pro.

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