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HBase High Performance Cookbook

You're reading from HBase High Performance Cookbook

Product type Book

Published in Jan 2017

Publisher Packt

ISBN-13 9781783983063

Pages 350 pages

Edition 1st Edition

Languages

Concepts

Database Administration

Author (1):

Ruchir Choudhry

Table of Contents (19) Chapters

HBase High Performance Cookbook

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Configuring HBase

2. Loading Data from Various DBs

3. Working with Large Distributed Systems Part I

4. Working with Large Distributed Systems Part II

5. Working with Scalable Structure of tables

6. HBase Clients

7. Large-Scale MapReduce

Introduction

8. HBase Performance Tuning

9. Performing Advanced Tasks on HBase

10. Optimizing Hbase for Cloud

11. Case Study

Index

Introduction

HBase is inspired by the Google big table architecture, and is fundamentally a non-relational, open source, and column-oriented distributed NoSQL. Written in Java, it is designed and developed by many engineers under the framework of Apache Software Foundation. Architecturally it sits on Apache Hadoop and runs by using Hadoop Distributed File System (HDFS) as its foundation.

It is a column-oriented database, empowered by a fault-tolerant distributed file structure known as HDFS. In addition to this, it also provides very advanced features, such as auto sharding, load-balancing, in-memory caching, replication, compression, near real-time lookups, strong consistency (using multi-version). It uses the latest concepts of block cache and bloom filter to provide faster response to online/real-time request. It supports multiple clients running on heterogeneous platforms by providing user-friendly APIs.

In this chapter, we will discuss how to effectively set up mid and large size HBase cluster on top of Hadoop/HDFS framework.

This chapter will help you set up HBase on a fully distributed cluster. For cluster setup, we will consider REH (RedHat Enterprise-6.2 Linux 64 bit); for our setup we will be using six nodes.

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HBase High Performance Cookbook

Published in: Jan 2017 Publisher: Packt ISBN-13: 9781783983063

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Authors (1)

Ruchir Choudhry

Ruchir Choudhry is a principle architect in one of the largest e-commerce companies and specializes in leading, articulating, technology vision, strategizing, and implementing very large-scale software engineering-driven technology changes, with a track record of over 16 years of success. He was responsible for leading strategy, architecture, engineering, and operations of multitenant e-commerce sites and platforms in US, UK, Brazil, and other major markets for Walmart. The sites helped Walmart enter new markets and/or grow its market share. The sites combined service millions of customers and take in orders with annual revenues exceeding $2.0 billion. His personal interest is in performance and scalability. Recently, he has become obsessed with technology as a vehicle to drive and prioritize optimization across organizations and in the world. He is a core team member in conceptualizing, designing, and reshaping a new platform that will serve the next generation of frontend engineering, based on the cutting edge technology in WalMart.com and NBC/GE/VF Image ware. He has led some of the most complex and technologically challenging R&D and innovative projects in VF Image Ware, Walmart.com and in GE/NBC (China and Vancouver Olympic websites), Hiper World Cyber Tech Limited (which created the first wireless-based payment gateway of India that worked on non-smart phones, which was presented at Berlin in 1999). He is the author of more than 8 white papers, which spans from biometric-based single sign on to Java Cards, performance tuning, and JVM tuning, among others. He was a presenter of JVM, performance optimization using Jboss, in Berlin and various other places. Ruchir Choudhry did his BE at Bapuji Institute of Technology, MBA in information technology at National institute of Engineering and Technology, and his MS Systems at BITS Pilani. He is currently working and consulting on HBase, Spark, and Cassandra. He can be reached at ruchirchoudhry@gmail.com

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