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You're reading from  Apache Hive Essentials

Product typeBook
Published inFeb 2015
Reading LevelIntermediate
PublisherPackt
ISBN-139781783558575
Edition1st Edition
Languages
SQL
Tools
HiveHadoop
Concepts
Data Processing
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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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Hive Data Definition Language

Hive Data Definition Language (DDL) is a subset of Hive SQL statements that describe the data structure in Hive by creating, deleting, or altering schema objects such as databases, tables, views, partitions, and buckets. Most Hive DDL statements start with the keywords CREATE, DROP, or ALTER. The syntax of Hive DDL is very similar to the DDL in SQL. The comments in Hive start from --.

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