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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

What you need for this book

This book not only shows you how to set up a large scale HBase cluster using commodity hardware, but also talks about how to use the full potential of a cloud, such as AWS.

It also talks about the internal process of HBase and how it connects in a perfect synchronized way, enabling it to scale without compromising performance.

We tried to simplify things as much as we can with multiple examples and details where needed.

In the end, it talks about machine learning and text analysis using Solr and Elasticsearch.

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