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Mastering Apache Cassandra - Second Edition

You're reading from Mastering Apache Cassandra - Second Edition Build, manage, and configure high-performing, reliable NoSQL database for your application with Cassandra

Product type Paperback

Published in Mar 2015

Publisher Packt

ISBN-13 9781784392611

Length 350 pages

Edition 1st Edition

Languages

Java

Tools

Cassandra

Concepts

Database Programming

Author (1):

Nishant Neeraj

View More author details

Table of Contents (15) Chapters

Mastering Apache Cassandra Second Edition

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Quick Start FREE CHAPTER

2. Cassandra Architecture

3. Effective CQL

4. Deploying a Cluster

5. Performance Tuning

6. Managing a Cluster – Scaling, Node Repair, and Backup

7. Monitoring

8. Integration with Hadoop

Index

Chapter 8. Integration with Hadoop

Big data is the latest trend in the technical community and industry in general. Cassandra and many other NoSQL solutions solve a major part of the problem: storing a large amount of datasets in a scalable manner while keeping the mutations and retrieval queries fast. However, this is just half the picture. A major part is processing. A database that provides better integration with analytical tools such as Apache Hadoop, Twitter Storm, Pig, Spark, and other platforms will be a preferable choice.

Cassandra provides native support to Hadoop MapReduce, Pig, Hive, and Oozie. It is a matter of tiny changes to get the Hadoop family up and working with Cassandra. Third-party support for Hadoop and Solr has taken Cassandra to the next level in terms of integration. Third-party proprietary tooling, such as DataStax Enterprise Edition for Cassandra, makes it easy to work with Hadoop and actually helps text search Cassandra using Solr. Enterprise Edition also provides...

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Authors (1)

Nishant Neeraj

Nishant Neeraj

Nishant Neeraj (http://naishe.in) is a software engineer at the BrightContext corporation. He builds software that can handle massive in-stream data, process it, and store it reliably, efficiently, and most importantly, quickly. He also manages the cloud infrastructure and makes sure that things stay up no matter what hit the data center in the middle of hardware failures and sudden surges of data inflow. He has six years of experience in building web applications in Java as a backend engineer. He has been using Cassandra in production-ready web applications since Version 0.6 in 2010. His interests lie in building scalable applications for large data sets. He works with Java, MySQL, Cassandra, Twitter Storm, Amazon Web Services, JavaScript, and Linux on a daily basis, and he has recently developed an interest in Machine Learning, Data Analysis, and Data Science in general.

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