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Apache Hive Essentials

You're reading from   Apache Hive Essentials Essential techniques to help you process, and get unique insights from, big data

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788995092
Length 210 pages
Edition 2nd Edition
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Author (1):
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Dayong Du Dayong Du
Author Profile Icon Dayong Du
Dayong Du
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Table of Contents (12) Chapters Close

Preface 1. Overview of Big Data and Hive FREE CHAPTER 2. Setting Up the Hive Environment 3. Data Definition and Description 4. Data Correlation and Scope 5. Data Manipulation 6. Data Aggregation and Sampling 7. Performance Considerations 8. Extensibility Considerations 9. Security Considerations 10. Working with Other Tools 11. Other Books You May Enjoy

Authentication

Authentication is the process of verifying the identity of a user by obtaining the user's credentials. Hive has offered authentication since hiveserver2. In the old version of Hive, hiveserver1 does not support Kerberos authentication for thrift clients. As result, if we could access the host/port over the network, we could access the server. Instead, we can leverage the metastore server, which supports Kerberos, for authentication. In this section, we will briefly talk about authentication configurations in both the metastore server and hiveserver2.

Kerberos is a network authentication protocol developed by MIT as part of Project Athena. It uses time-sensitive tickets that are generated using symmetric key cryptography to securely authenticate a user in an unsecured network environment. Kerberos, in Greek mythology, was the three-headed dog that guarded the...
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