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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

Summary

In this chapter, we learned how to set up Hive in different environments. We also looked into a few examples of using Hive commands in both the command-line and the interactive mode for beeline and hive. Since it is quite productive to use IDE with Hive, we walked through the setup of Oracle SQL Developer for Hive. Now that you've finished this chapter, you should be able to set up your own Hive environment locally and use Hive.

In the next chapter, we will dive into the details of Hive's data definition languages.

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