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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

Product type Paperback

Published in Feb 2015

Publisher

ISBN-13 9781783989201

Length 246 pages

Edition 1st Edition

Languages

Java

Tools

Cassandra

Concepts

Database Programming

Author (1):

Matthew Brown

View More author details

Table of Contents (14) Chapters

Preface

1. Getting Up and Running with Cassandra

2. The First Table FREE CHAPTER

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 1. Getting Up and Running with Cassandra

As an application developer, you have almost certainly worked with databases extensively. You must have built products using relational databases like MySQL and PostgreSQL, and perhaps experimented with a document store like MongoDB or a key-value database like Redis. While each of these tools has its strengths, you will now consider whether a distributed database like Cassandra might be the best choice for the task at hand.

In this chapter, we'll talk about the major reasons to choose Cassandra from among the many database options available to you. Having established that Cassandra is a great choice, we'll go through the nuts and bolts of getting a local Cassandra installation up and running. By the end of this chapter, you'll know:

When and why Cassandra is a good choice for your application
How to install Cassandra on your development machine
How to interact with Cassandra using cqlsh
How to create a keyspace

The rest of the chapter is locked

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Authors (1)

Brown

Brown

https://github.com/outoftime

See other products by Brown

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