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)

What this book covers

Chapter 1, Overview of Big Data and Hive, begins with the evolution of big data, Hadoop ecosystem, and Hive. You will also learn the Hive architecture and advantages of using Hive in big data analysis.

Chapter 2, Setting Up the Hive Environment, presents the Hive environment setup and configuration. It also covers using Hive through the command line and development tools.

Chapter 3, Data Definition and Description, outlines the basic data types and data definition language for tables, partitions, buckets, and views in Hive.

Chapter 4, Data Correlation and Scope, shows you ways to discover the data by querying, linking, and scoping the data in Hive.

Chapter 5, Data Manipulation, focuses on the process of exchanging, moving, sorting, and transforming the data in Hive.

Chapter 6, Data Aggregation and Sampling, explains the way of doing aggregation and sample using aggregation functions, analytic functions, windowing, and sample clauses.

Chapter 7, Performance Considerations, introduces the best practices of performance considerations in the aspect of design, file format, compression, storage, query, and job.

Chapter 8, Extensibility Considerations, describes the way of extending Hive by creating user-defined functions, streaming, serializers, and deserializers.

Chapter 9, Security Considerations, introduces the area of Hive security in terms of authentication, authorization, and encryption.

Chapter 10, Working with Other Tools, discusses how Hive works with other big data tools.