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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Build an efficient, scalable, fault-tolerant, and highly-available data layer into your application using Cassandra

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781783989201
Length 246 pages
Edition 1st Edition
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Author (1):
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Matthew Brown Matthew Brown
Author Profile Icon Matthew Brown
Matthew Brown
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Table of Contents (14) 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 A. Peeking Under the Hood B. Authentication and Authorization Index

Chapter 2. The First Table

For the next few chapters, we'll be building the persistence layer for an application called MyStatus, which allows its users to post status updates for their friends to see. In this chapter, we'll make the first table of that persistence layer, which will store user profiles.

In Chapter 1, Getting Up and Running with Cassandra, you set up a local Cassandra installation and created a keyspace, so we're prepared to hit the ground running. This chapter will provide a whirlwind tour of many core Cassandra concepts such as:

  • How Cassandra tables are structured
  • Cassandra's type system
  • How to create a table
  • How to insert rows into a table
  • How to retrieve rows by primary key
  • How to query for all rows in a table
  • How to page through large result sets
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