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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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Concepts
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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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Toc

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

Security Considerations

For most open source software, security is a critical area to address before production release. As the leading SQL-like interface for Hadoop data, Hive must ensure that data is securely protected and accessed. For this reason, security in Hive is always considered an integral and important part of the ecosystem. The earlier version of Hive mainly relied on HDFS for security. The security of Hive gradually became mature after hiveserver2 was released.

This chapter will discuss Hive security in the following areas:

  • Authentication
  • Authorization
  • Mask and encryption
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