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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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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

Summary

In this chapter, we introduced the Hive security areas of authentication, authorization, mask, and encryption. We covered authentications in the metastore server and hiveserver2. Then, we talked about default, storage-based, and SQL standard-based mode authorization. At the end of this chapter, we discussed various ways of applying data masks and security in Hive. After going through this chapter, you should be able to address security concerns with different authentication, authorization, and data-mask or security methods.

In the next chapter, we'll talk about using Hive with other tools in the big data ecosystem.

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