Apache Hive Essentials: Essential techniques to help you process, and get unique insights from, big data, 2nd Edition

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Apache Hive Essentials: Essential techniques to help you process, and get unique insights from, big data, 2nd Edition

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內容描述

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 DataDiscover 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 DescriptionIn 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 problemsWhat 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 ForIf 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 ContentsOVERVIEW OF BIG DATA AND HIVESETTING UP THE HIVE ENVIRONMENTDATA DEFINITION AND DESCRIPTIONData Correlation and ScopeDATA MANIPULATIONDATA AGGREGATION AND SAMPLINGExtensibility ConsiderationsWorking with Other ToolsPerformance ConsiderationsSecurity Considerations