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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


HBase is uniquely designed for scale and provides ability to read and write individual cells, columns, column families, column qualifier, row-keys, versions of data, and timestamps updating data without usage of MapReduce. It is totally different from the traditional RDBMS databases. An RDBMS system takes advantage of the following structural concepts such as schema (logical representation of various grouped objects), tables, columns, foreign keys, joins, indexes, store procedures, queries, hints cache, and so on. This works well if the data is structured, but starts getting very complex if the data grows very fast (exponentially); the data structure changes very frequently.

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HBase High Performance Cookbook
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