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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

Data Manipulation

The ability to manipulate data is critical in big data analysis. Manipulating data is the process of exchanging, moving, sorting, transforming, and modifying data. This technique is used in many situations, such as cleaning data, searching patterns, creating trends, and so on. HQL offers various statements, keywords, operators, and functions for carrying out data manipulation.

In this chapter, we will cover the following topics:

  • Data exchange using LOAD, INSERT, IMPORT, and EXPORT
  • Data sorting
  • Functions
  • Transactions and locks
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