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  • Create and set up the Hive environment
  • Discover how to use Hive's definition language to describe data
  • Discover interesting data by joining and filtering datasets in Hive
  • Transform data by using Hive sorting, ordering, and functions
  • Aggregate and sample data in different ways
  • Boost Hive query performance and enhance data security in Hive
  • Customize Hive to your needs by using user-defined functions and integrate it with other tools

In this book, we prepare you for your journey into big data by firstly introducing you to backgrounds in the big data domain along with the process of setting up and getting familiar with your Hive working environment. Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skill in using the Hive language in an efficient manner. Towards the end, the book focuses on advanced topics such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey.

By the end of the book, you will be familiar with Hive and able to work efficiently to find solutions to big data problems.

  • Discover how Hive can coexist and work with other tools in the Hadoop ecosystem to create big data solutions
  • Grasp the skills needed, learn the best practices, and avoid the pitfalls in writing efficient Hive queries to analyze the big data
  • Create an environment to analyze big data using practical, example-oriented scenarios
Page Count 208
Course Length 6 hours 14 minutes
ISBN 9781783558575
Date Of Publication 26 Feb 2015


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.