Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Hbase

You're reading from   Learning Hbase Learn the fundamentals of HBase administration and development with the help of real-time scenarios

Arrow left icon
Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783985944
Length 326 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Shashwat Shriparv Shashwat Shriparv
Author Profile Icon Shashwat Shriparv
Shashwat Shriparv
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Understanding the HBase Ecosystem FREE CHAPTER 2. Let's Begin with HBase 3. Let's Start Building It 4. Optimizing the HBase/Hadoop Cluster 5. The Storage, Structure Layout, and Data Model of HBase 6. HBase Cluster Maintenance and Troubleshooting 7. Scripting in HBase 8. Coding HBase in Java 9. Advance Coding in Java for HBase 10. HBase Use Cases Index

Some real-world project examples' use cases


In this section, we will list out use cases of HBase being used in the industry today. References and more details can be found at links provided in the Useful links and references section at the end of the chapter.

HBase at Facebook

Facebook, as you all know, is a social utility that connects people with friends and others who work, study, and live around them. Facebook uses HBase mainly to power their messages infrastructure. The following are the services where Facebook uses HBase:

  • Messages between users

  • Chats

  • E-mails

  • SMS

Choosing HBase

The following are the reasons why Facebook chooses HBase:

  • Provides high write throughput

  • Good random read performance compared to other DBs

  • Horizontal scalability

  • Automatic failover

  • Strong consistency

  • Benefits of HDFS such as fault tolerant, scalable, checksums, and MapReduce

HBase acts like a caching layer on top of Hadoop when bundled these two together, faster data process compare with other NoSQL + Hadoop.

Storing in HBase...

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 $19.99/month. Cancel anytime
Banner background image