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

Product type Paperback

Published in Apr 2017

Publisher

ISBN-13 9781787127296

Length 360 pages

Edition 2nd Edition

Languages

Java

Tools

Cassandra

Concepts

Databases

Author (1):

Sandeep Yarabarla

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Table of Contents (15) Chapters

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 the JDK

First, we need to make sure that we have an up-to-date installation of the Java Runtime Environment (JRE). The recommended Java version for Cassandra 3.0 is Oracle Java 1.8. Make sure you have the correct Java Development Kit (JDK) version installed. Go to http://www.oracle.com/technetwork/java/javase/downloads/index.html, and download and install the appropriate JDK. Open the Terminal application, and type the following into the command prompt:

    $ java -version

You will see an output that looks similar to the following:

    java version "1.8.0_65"
    Java(TM) SE Runtime Environment (build 1.8.0_65-b17)
    Java HotSpot(TM) 64-Bit Server VM (build 25.65-b01, mixed mode)

Once you've got the right version of Java, you're ready to install Cassandra.

You have been reading a chapter from

Learning Apache Cassandra - Second Edition

Published in: Apr 2017

Publisher:

ISBN-13: 9781787127296

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Authors (1)

Yarabarla

Sandeep Yarabarla is a professional software engineer working for Verizon Labs, based out of Palo Alto, CA. After graduating from Carnegie Mellon University, he has worked on several big data technologies for a spectrum of companies. He has developed applications primarily in Java and Go. His experience includes handling large amounts of unstructured and structured data in Hadoop, and developing data processing applications using Spark and MapReduce. Right now, he is working with some cutting-edge technologies such as Cassandra, Kafka, Mesos, and Docker to build fault-tolerant and highly scalable applications.

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