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Apache Hadoop 3 Quick Start Guide

You're reading from   Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Length 220 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (10) Chapters Close

Preface 1. Hadoop 3.0 - Background and Introduction FREE CHAPTER 2. Planning and Setting Up Hadoop Clusters 3. Deep Dive into the Hadoop Distributed File System 4. Developing MapReduce Applications 5. Building Rich YARN Applications 6. Monitoring and Administration of a Hadoop Cluster 7. Demystifying Hadoop Ecosystem Components 8. Advanced Topics in Apache Hadoop 9. Other Books You May Enjoy

Using HBase for NoSQL storage

Apache HBase provides a distributed, columnar key-value-based storage on Apache Hadoop. It is best suited when you need to perform read-writes randomly on large and varying data stores. HBase is capable of distributing and sharding its data across multiple nodes of Apache Hadoop, and it also provides high availability through its automatic failover from one region server to another. Apache HBase can be run in two modes: standalone and distributed. In the standalone mode, HBase does not use HDFS and instead uses a local directory by default, whereas the distributed mode works on HDFS.

Apache HBase stores its data across multiple rows and columns, where each row consists of a row key and a column containing one or more values. A value can be one or more attributes. Column families are sets of columns that are collocated together for performance reasons...

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