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You're reading from  Apache Hive Essentials. - Second Edition

Product typeBook
Published inJun 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788995092
Edition2nd Edition
Languages
Java
Tools
Hive
Concepts
Data Analysis
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Author (1)
Dayong Du
Dayong Du
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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.
Read more about Dayong Du

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Summary

In this chapter, we first covered how to identify performance bottlenecks using EXPLAIN and ANALYZE statements. Then, we spoke about design optimization for performance when using tables, partitions, and indexes. We also covered data file optimization including file format, compression and storage. At the end of this chapter, we discussed job optimization, job engines, and optimizers. After going through this chapter, you should be able to do performance troubleshooting and tuning in Hive. In the next chapter, we'll talk about function extensions for Hive.

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Apache Hive Essentials. - Second Edition
Published in: Jun 2018Publisher: PacktISBN-13: 9781788995092
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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.
Read more about Dayong Du

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