Apache Hive Essentials

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

Key FeaturesGrasp 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 ecosystemUses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3Book 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 learnCreate and set up the Hive environmentDiscover how to use Hive's definition language to describe dataDiscover interesting data by joining and filtering datasets in HiveTransform data by using Hive sorting, ordering, and functionsAggregate and sample data in different waysBoost Hive query performance and enhance data security in HiveCustomize Hive to your needs by using user-defined functions and integrate it with other toolsWho 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.

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.