Book Image

Apache Hive Essentials. - Second Edition

By : Dayong Du
Book Image

Apache Hive Essentials. - Second Edition

By: Dayong Du

Overview of this book

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
Table of Contents (12 chapters)

Data Manipulation

The ability to manipulate data is critical in big data analysis. Manipulating data is the process of exchanging, moving, sorting, transforming, and modifying data. This technique is used in many situations, such as cleaning data, searching patterns, creating trends, and so on. HQL offers various statements, keywords, operators, and functions for carrying out data manipulation.

In this chapter, we will cover the following topics:

  • Data exchange using LOAD, INSERT, IMPORT, and EXPORT
  • Data sorting
  • Functions
  • Transactions and locks