Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
HBase High Performance Cookbook

You're reading from   HBase High Performance Cookbook Solutions for optimization, scaling and performance tuning

Arrow left icon
Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Length 350 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Ruchir Choudhry Ruchir Choudhry
Author Profile Icon Ruchir Choudhry
Ruchir Choudhry
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

HBase High Performance Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Configuring HBase FREE CHAPTER 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 8. HBase Performance Tuning 9. Performing Advanced Tasks on HBase 10. Optimizing Hbase for Cloud 11. Case Study Index

Introduction


Hadoop/Hbase was designed to crunch a huge amount of data in a batch mode and provide meaningful results to this data. However, as the technology evolved over the years, the original architecture was fine tuned to move from the world of big-iron to the choice of cloud infrastructure:

  1. It provides optimum pricing for the provisioning of new hardware, storage, and monitoring the infrastructure.

  2. One-click setup of additional nodes and storage.

  3. Elastic load-balancing to different clusters within the Hbase ecosystem.

  4. Ability to resize the cluster on-demand.

  5. Share capacity with different time-zones, for example, doing batch jobs in different data centers to and real-time analytics near to the customer.

  6. Easy integration with other Cloud-based services.

  7. HBase on Amazon EMR provides the ability to back up your HBase data directly to Amazon Simple Storage Service (Amazon S3). You can also restore from a previously created backup when launching an HBase cluster.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime
Visually different images