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HBase High Performance Cookbook

HBase High Performance Cookbook

By : Ruchir Choudhry
2.5 (2)
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HBase High Performance Cookbook

HBase High Performance Cookbook

2.5 (2)
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 (13 chapters)
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7
7. Large-Scale MapReduce
12
Index

Introduction

With the fast adaptation of Hadoop/HBase ecosystem, various applications, both real-time and batch processing, are built on top of it. It's of utmost importance to plan the entire architecture to have built-in elasticity, regional datacenter adaptation, globally distributed redundancy, and multi-layered globally distributed architecture which ties in with hardware, software, network and growing demands of customers, as the business matures.

In the early years of Hadoop/HBase most of the use cases were driven by batch processing systems, but the trend is converging to make a single platform, which can equally scale if near real-time use cases are used against this eco-system.

It is essential to do a proper planning of the architecture before setting up a very large scale HBase system; this will allow the system to do the following:

  • Scale elastically or Auto Scaling with built-in fault tolerance
  • Works on different VM/physical and cloud hardware
  • Gives near real-time throughput...

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