This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive.

Key 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

Book Description
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

What you will 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

Who This Book Is For
If you are a data analyst, developer, or simply someone who wants to quickly get started with Hive to explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be useful to get the most out of this book.

Table of Contents
OVERVIEW OF BIG DATA AND HIVE
SETTING UP THE HIVE ENVIRONMENT
DATA DEFINITION AND DESCRIPTION
Data Correlation and Scope
DATA MANIPULATION
DATA AGGREGATION AND SAMPLING
Extensibility Considerations
Working with Other Tools
Performance Considerations
Security Considerations