Book Image

HBase High Performance Cookbook

By : Ruchir Choudhry
Book Image

HBase High Performance Cookbook

By: Ruchir Choudhry

Overview of this book

Apache HBase is a non-relational NoSQL database management system that runs on top of HDFS. It is an open source, disturbed, versioned, column-oriented store and is written in Java to provide random real-time access to big Data. We’ll start off by ensuring you have a solid understanding the basics of HBase, followed by giving you a thorough explanation of architecting a HBase cluster as per our project specifications. Next, we will explore the scalable structure of tables and we will be able to communicate with the HBase client. After this, we’ll show you the intricacies of MapReduce and the art of performance tuning with HBase. Following this, we’ll explain the concepts pertaining to scaling with HBase. Finally, you will get an understanding of how to integrate HBase with other tools such as ElasticSearch. By the end of this book, you will have learned enough to exploit HBase for boost system performance.
Table of Contents (19 chapters)
HBase High Performance Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
7
Large-Scale MapReduce
Index

Introduction


Hadoop/Hbase was designed to crunch a huge amount of data in a batch mode and provide meaningful results to this data. However, as the technology evolved over the years, the original architecture was fine tuned to move from the world of big-iron to the choice of cloud infrastructure:

  1. It provides optimum pricing for the provisioning of new hardware, storage, and monitoring the infrastructure.

  2. One-click setup of additional nodes and storage.

  3. Elastic load-balancing to different clusters within the Hbase ecosystem.

  4. Ability to resize the cluster on-demand.

  5. Share capacity with different time-zones, for example, doing batch jobs in different data centers to and real-time analytics near to the customer.

  6. Easy integration with other Cloud-based services.

  7. HBase on Amazon EMR provides the ability to back up your HBase data directly to Amazon Simple Storage Service (Amazon S3). You can also restore from a previously created backup when launching an HBase cluster.