Apache Hive Essentials - Second Edition

More Information
Learn
  • 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
About

In this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith 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 skills in using the Hive language in an effcient manner. Toward 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 effeciently to find solutions to big data problems

Features
  • Grasp the skills needed to write efficient Hive queries to analyze the Big Data
  • Discover how Hive can coexist and work with other tools within the Hadoop ecosystem
  • Uses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3
Page Count 210
Course Length 6 hours 18 minutes
ISBN 9781788995092
Date Of Publication 29 Jun 2018

Authors

Dayong Du

Dayong Du is a big data practitioner, author, and coach with over 10 years' experience in technology consulting, designing, and implementing enterprise big data architecture and analytics in various industries, including finance, media, travel, and telecoms. He has a master's degree in computer science from Dalhousie University and is a Cloudera certified Hadoop developer. He is a cofounder of Toronto Big Data Professional Association and the founder of DataFiber website.