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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

Works on different VM/physical, cloud hardware

In case you want to do a scalability based on the VMware architecture, the way to go will be VMware vSphere™ Big Data Extensions:

The benefits to do this are phenomenal, which we can list as follows:

  • Rapid provisioning: Virtualization allows very sophisticated facilities like cloning, templates, resource allocation and optimizations, speed of deployment. A large scale distributed Hadoop/HBase cluster which is deployed on multiple nodes and can scale on demand and downscale as needed.
  • High Availability (HA) and Fault Tolerance: By design hadoop/HBase ecosystem comes with HA as the underlying layer is HDFS but some of the core components of the system like namenode, HBase master, secondary namenode, jobtracker becomes single point of failure. VM Ware provides very advanced underlying technology, which can help us do this by using vSphere and vMotion.
  • Datacenter efficiency: It can be achieved by using the infrastructure flexibly or elastically...

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