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Apache Hive Essentials

You're reading from Apache Hive Essentials

Product type Book

Published in Feb 2015

Publisher Packt

ISBN-13 9781783558575

Pages 208 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Author (1):

Dayong Du

Table of Contents (17) Chapters

Apache Hive Essentials

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Overview of Big Data and Hive

2. Setting Up the Hive Environment

3. Data Definition and Description

4. Data Selection and Scope

5. Data Manipulation

6. Data Aggregation and Sampling

7. Performance Considerations

8. Extensibility Considerations

9. Security Considerations

10. Working with Other Tools

Index

Summary

In this chapter, we first covered how to identify performance bottlenecks using the EXPLAIN and ANALYZE statements. Then, we spoke about the design optimization for performance when using tables, partition, and index. We also covered the data file optimization including file format, compression, and storage. At the end of this chapter, we discussed job and query optimization in Hive. After going through this chapter, we should be able to do performance troubleshooting and tuning in Hive.

In the next chapter, we'll talk about function extensions for Hive.

The rest of the chapter is locked

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Authors (1)

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.

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