Apache Hive Cookbook

丛 书 名：Quick Answers to Common Problems

版本说明：1

作     者：Bansal, Hanish Chauhan, Saurabh Mehrotra, Shrey 

I S B N：(纸本) 9781782161080;9781782161097 

出 版 社：Packt Publishing 

出 版 年：2016年

主 题 词：Database management 

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：About This BookGrasp a complete reference of different Hive *** to know the latest recipes in development in Hive including CRUD operationsUnderstand Hive internals and integration of Hive with different frameworks used in today s *** This Book Is ForThis book has covered almost all concepts of Hive. So, if you are a beginner in the big data Hadoop domain, you can start with installing Hive, understanding Hive services and clients, and using Hive data modeling concepts to design your data model. If you have basic knowledge of Hive, you can deep dive into some of the advance concepts covered in the book such as partitions, bucketing, file formats, security, and windowing and *** a nutshell, this book is helpful for both a Hadoop developer and a Hadoop analyst who want to explore *** You Will LearnLearn different features and offering on the latest HiveUnderstand the workings and structure of Hive internalsGet an insight into the latest developments in the Hive frameworkLearn the concepts of the Hive Data ModelMaster key concepts such as Partition, Buckets and StatisticsKnow how to integrate Hive with other frameworks, such as Spark and AccumuloIn DetailHive was developed by Facebook and later open sourced in the Apache community. Hive provides a SQL-like interface to run queries on Big Data frameworks. Hive provides SQL-like syntax called Hive Query Language (HQL) that includes all SQL capabilities, such as analytical functions, which are quintessential today s Big Data *** book provides easy installation steps of the different types of metastore supported by Hive. This book has simple and easy-to-learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations, including Partitions and Bucketing. The book also covers the source code explanation of latest version of *** Query Language is being used by other frameworks, including Spark. Towards the end you will cover the integration o