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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

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788995092

Length 210 pages

Edition 2nd Edition

Languages

Java

Tools

Hive

Concepts

Big Data

Author (1):

Dayong Du

View More author details

Table of Contents (12) Chapters

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

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Summary

In this chapter, we learned how to define and use various data types in Hive. We looked at how to create, alter, and drop tables, partitions, and views. We also covered how to use external tables, internal tables, partitions, buckets, and views.

In the next chapter, we will dive into the details of querying data in Hive.

The rest of the chapter is locked

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Authors (1)

Dayong Du

Dayong Du

Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.

See other products by Dayong Du

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