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  • Book Overview & Buying Mastering Apache Cassandra - Second Edition
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Mastering Apache Cassandra - Second Edition

Mastering Apache Cassandra - Second Edition

By : Nishant Neeraj
4.6 (10)
Buy this Book
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Mastering Apache Cassandra - Second Edition

Mastering Apache Cassandra - Second Edition

4.6 (10)
By: Nishant Neeraj
Buy this Book

Overview of this book

The book is aimed at intermediate developers with an understanding of core database concepts who want to become a master at implementing Cassandra for their application.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Quick Start
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1. Quick Start
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Introduction to Cassandra
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A brief introduction to a data model
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Installing Cassandra locally
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Cassandra in action
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Summary
2
2. Cassandra Architecture
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2. Cassandra Architecture
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Problems in the RDBMS world
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Enter NoSQL
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Cassandra
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Understanding the architecture of Cassandra
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Summary
3
3. Effective CQL
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3. Effective CQL
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The Cassandra data model
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CQL shell commands
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Summary
4
4. Deploying a Cluster
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4. Deploying a Cluster
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Evaluating requirements
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System configurations
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The required software
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Installing Cassandra
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Configuring a Cassandra cluster
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Authorization and authentication
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Summary
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5. Performance Tuning
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5. Performance Tuning
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Stress testing
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Performance tuning
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Summary
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6. Managing a Cluster – Scaling, Node Repair, and Backup
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6. Managing a Cluster – Scaling, Node Repair, and Backup
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Scaling
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Replacing a node
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Backup and restoration
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Load balancing
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DataStax OpsCenter – managing large clusters
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Summary
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7. Monitoring
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7. Monitoring
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Cassandra's JMX interface
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Cassandra's nodetool utility
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DataStax OpsCenter
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Nagios – monitoring and notification
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Cassandra log
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Troubleshooting
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Summary
8
8. Integration with Hadoop
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8. Integration with Hadoop
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Using Hadoop
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Hadoop and Cassandra
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Cassandra with Hadoop MapReduce
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Cassandra and Hadoop in action
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Hadoop in a Cassandra cluster
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Integration with Pig
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Summary
9
Index
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Index

Chapter 3. Effective CQL

This chapter will introduce you to the underlying data structure of tables in Cassandra. Let's set some development rules of thumb before we dive into CQL. With CQL 3, Cassandra development team has done a commendable job of almost entirely eliminating any chance of using an antipattern, and at the same time bringing an interface that is SQL people friendly.

If you are a developer, this is probably the most important chapter for you. You will get a sense of things that are possible and not possible when working with Cassandra. You may also want to refer Chapter 8, Integration with Hadoop, to understand how to use Cassandra with various big data technologies such as the Hadoop ecosystem and Spark/Shark.

When dealing with Cassandra, keep the following things in mind:

  • Denormalize, denormalize, and denormalize: Forget about old school 3NF in Cassandra; the fewer the network trips, the better the performance. Denormalize wherever you can for quicker retrieval...
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Mastering Apache Cassandra - Second Edition
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