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HBase Essentials

You're reading from HBase Essentials

Product type Book

Published in Nov 2014

Publisher

ISBN-13 9781783987245

Pages 164 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Nishant Garg

Table of Contents (14) Chapters

HBase Essentials

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Introducing HBase

2. Defining the Schema

3. Advanced Data Modeling

4. The HBase Architecture

5. The HBase Advanced API

6. HBase Clients

7. HBase Administration

Index

HBase and MapReduce

HBase has a close integration with Hadoop's MapReduce as it is built on top of the Apache Hadoop framework. Hadoop's MapReduce provides a distributed computation for high throughput data access, and Hadoop Distributed File System (HDFS) provides HBase with the storage layer with high availability, reliability, and durability for data.

Before we go into more details of how HBase integrates with Hadoop's MapReduce framework, let's first understand how this framework actually works.

Hadoop MapReduce

There should be a system to process terabytes or petabytes of data and increase its performance linearly with the number of physical machines added. Apache Hadoop's MapReduce framework is designed to provide linearly scalable processing power for huge amounts of Big Data.

Let's discuss how MapReduce processes the data described in the preceding diagram. In MapReduce, the first step is the split process, which is responsible for dividing the input data into reasonably sized chunks...

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Authors (1)

Nishant Garg

Nishant Garg has over 17 years' software architecture and development experience in various technologies, such as Java Enterprise Edition, SOA, Spring, Hadoop, Hive, Flume, Sqoop, Oozie, Spark, Shark, YARN, Impala, Kafka, Storm, Solr/Lucene, NoSQL databases (such as HBase, Cassandra, and MongoDB), and MPP databases (such as GreenPlum). He received his MS in software systems from the Birla Institute of Technology and Science, Pilani, India, and is currently working as a technical architect for the Big Data RandD Group with Impetus Infotech Pvt. Ltd. Previously, Nishant has enjoyed working with some of the most recognizable names in IT services and financial industries, employing full software life cycle methodologies such as Agile and SCRUM. Nishant has also undertaken many speaking engagements on big data technologies and is also the author of Apache Kafka and HBase Essentials, Packt Publishing.

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