HBase high performance cookbook : exciting projects that will teach you how complex data can be exploited to gain maximum insights / Ruchir Choudhry.

Format:

Book

Author/Creator:

Choudhry, Ruchir, author.

Language:

English

Subjects (All):

Electronic data processing--Distributed processing.

Electronic data processing.

Distributed databases--Handbooks, manuals, etc.

Distributed databases.

Database management.

Open source software.

Physical Description:

1 online resource (350 pages) : illustrations

Edition:

1st edition

Place of Publication:

Birmingham : Packt, 2017.

System Details:

text file

Biography/History:

Choudhry Ruchir: 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

Summary:

Exciting projects that will teach you how complex data can be exploited to gain maximum insights About This Book Architect a good HBase cluster for a very large distributed system Get to grips with the concepts of performance tuning with HBase A practical guide full of engaging recipes and attractive screenshots to enhance your system's performance Who This Book Is For This book is intended for developers and architects who want to know all about HBase at a hands-on level. This book is also for big data enthusiasts and database developers who have worked with other NoSQL databases and now want to explore HBase as another futuristic scalable database solution in the big data space. What You Will Learn Configure HBase from a high performance perspective Grab data from various RDBMS/Flat files into the HBASE systems Understand table design and perform CRUD operations Find out how the communication between the client and server happens in HBase Grasp when to use and avoid MapReduce and how to perform various tasks with it Get to know the concepts of scaling with HBase through practical examples Set up Hbase in the Cloud for a small scale environment Integrate HBase with other tools including ElasticSearch In Detail 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. Style and approach This book is intended for software quality assurance/testing professionals, software project managers, or software developers with prior experience in using Selenium and Java to test web-based applications. This books also provides examples for C#, Python, and Ruby users.

Contents:

Cover

Copyright

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Table of Contents

Preface

Chapter 1: Configuring HBase

Introduction

Configuring and deploying HBase

Using the filesystem

Administering clusters

Managing clusters

Chapter 2: Loading Data from Various DBs

Extracting data from Oracle

Loading data using Oracle Big data connector

Bulk utilities

Using Hive with Apache HBase

Using Sqoop

Chapter 3: Working with Large Distributed Systems Part I

Scaling elastically or Auto Scaling with built-in fault tolerance

Auto Scaling HBase using AWS

Works on different VM/physical, cloud hardware

Chapter 4: Working with Large Distributed Systems Part II

Read path

Write Path

Snappy

LZO compression

LZ4 compressor

Replication

Chapter 5: Working with Scalable Structure of tables

HBase data model part 1

HBase data model part 2

How HBase truly scales on key and schema design

Chapter 6: HBase Clients

HBase REST and Java Client

Working with Apache Thrift

Working with Apache Avro

Working with Protocol buffer

Working with Pig and using Shell

Chapter 7: Large-Scale MapReduce

Chapter 8: HBase Performance Tuning

Working with infrastructure/operating systems

Working with Java virtual machines

Changing the configuration of components

Working with HDFS

Chapter 9: Performing Advanced Tasks on Hbase

Machine learning using Hbase

Real-time data analysis using Hbase and Mahout

Full text indexing using Hbase

Chapter 10: Optimizing Hbase for Cloud

Configuring Hbase for the Cloud

Connecting to an Hbase cluster using the command line.

Backing up and restoring Hbase

Terminating an HBase cluster

Accessing HBase data with hive

Viewing the Hbase user interface

Monitoring HBase with CloudWatch

Monitoring Hbase with Ganglia

Chapter 11: Case Study

Configuring Lily Platform

Integrating elastic search with Hbase

Configuring

Index.

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed March 2, 2017).

ISBN:

9781783983070

1783983078

OCLC:

972900861