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Apache Hive Cookbook

You're reading from   Apache Hive Cookbook

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781782161080
Length 268 pages
Edition 1st Edition
Languages
Tools
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Authors (3):
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Hanish Bansal Hanish Bansal
Author Profile Icon Hanish Bansal
Hanish Bansal
Saurabh Chauhan Saurabh Chauhan
Author Profile Icon Saurabh Chauhan
Saurabh Chauhan
Shrey Mehrotra Shrey Mehrotra
Author Profile Icon Shrey Mehrotra
Shrey Mehrotra
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Table of Contents (19) Chapters Close

Apache Hive Cookbook
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Developing Hive FREE CHAPTER 2. Services in Hive 3. Understanding the Hive Data Model 4. Hive Data Definition Language 5. Hive Data Manipulation Language 6. Hive Extensibility Features 7. Joins and Join Optimization 8. Statistics in Hive 9. Functions in Hive 10. Hive Tuning 11. Hive Security 12. Hive Integration with Other Frameworks Index

Securing Hadoop


In today's era of big data, most of the organizations are concentrating to use Hadoop as a centralized data store. Data size is growing day by day, and organizations want to derive some insights and make decisions using the important information. While everyone is focusing on collecting the data, but having all the data at a centralized place increases the risk of data security. Securing the data access of Hadoop Distributed File System (HDFS) is very important. Hadoop security means restricting the access of data to only authorized users and groups. Furthermore, when we talk about security, there are two major things—Authentication and Authorization.

HDFS supports a permission model for files and directories that is much equivalent to the standard POSIX model. Similar to UNIX permissions, each file and directory in HDFS is associated with an owner, group, and another users. There are three types of permissions in HDFS—read, write, and execute.

In contrast to the UNIX permission...

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