Book Image

HBase High Performance Cookbook

By : Ruchir Choudhry
Book Image

HBase High Performance Cookbook

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 (19 chapters)
HBase High Performance Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
7
Large-Scale MapReduce
Index

Loading data using Oracle Big data connector


If there is a very large volume of data in the system, it is vital to have an extremely efficient data-processing engine between various touch points. Oracle Big Data connector is calibrated to do the following activities. We will only touch upon the loading part of it:

  • Connector for HDFS

  • Loader for Hadoop

  • Data Integrator Adaptor for Hadoop

  • R Advanced Analytics for Hadoop

  • XQuery for Hadoop

Getting Ready

Download Oracle connector from the following:

  1. Loading data using the Oracle Big data connector:

    http://www.oracle.com/technetwork/database/database-technologies/bdc/big-data-connectors/downloads/index.html

  2. Download for Linux x86-64

  3. Download Cloudera's Distribution (CDH3 or CDH4)

  4. JDK1.6.08 or later

  5. Hive 0.7.0, 0.8.1, or 0.9.0

  6. Oracle DB release 11.2.0.2 or 11.2.0.3, the same version of CDH3,CDH4

How to do it…

  1. Configure CDH or Apache Hadoop as shown in the preceding section.

    Tip

    Don't change anything in the HBase setup. Indicate clearly that jars are in HBASE_HOME...