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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, you learned to use SELECT statements to project the data needed and filter data with WHERE, LIMIT, IN/EXISTS. Then, we introduced different joins to link datasets together, as well as the dataset operations UNION and UNION ALL. After going through this chapter, you should be able to use the SELECT statement with different WHERE conditions, LIMIT, DISTINCT, and complex subqueries. You should be able to understand and use different types of JOIN statements to link the different datasets horizontally or UNION them vertically.

In the next chapter, we will talk about the details of data exchanging, ordering, and transforming, as well as transactions in HQL.

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