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You're reading from  Apache Hive Essentials

Product typeBook
Published inFeb 2015
Reading LevelIntermediate
PublisherPackt
ISBN-139781783558575
Edition1st Edition
Languages
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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 covered how to exchange data between Hive and files using the LOAD, INSERT, IMPORT, and EXPORT keywords. Then, we introduced the different Hive ordering and sorting options. We also covered some commonly used tips using Hive functions. Finally, we provided an overview of row-level transactions that are newly supported since Hive 0.13.0. After going through this chapter, we should be able to import or export data to Hive. We should be experienced in using different types of ordering and sorting keywords, Hive functions, and transactions.

In the next chapter, we'll look at the different ways of carrying out data aggregations and sampling in Hive.

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Apache Hive Essentials
Published in: Feb 2015Publisher: PacktISBN-13: 9781783558575

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