Hive is a data warehouse infrastructure tool to process structured data in Hadoop. •Developed at Facebook to enable analysts to query Hadoop data •MapReduce for computation, HDFS for storage, RDBMS for metadata •Can use Hive to perform SQL style queries on Hadoop data INTRODUCTION 5 Hive Wednesday, May 14, 14 Hive is a killer app, in our opinion, for data warehouse teams migrating to Hadoop, because it gives them a familiar SQL language that hides the complexity of MR programming. It is built on top of Hadoop. It is a software project that provides data query and analysis. Hive •Apache Hive is a data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis. It is a data warehouse framework for querying and analysis of data that is stored in HDFS. In addition, HiveQL enables users to plug in custom map-reduce scripts into queries. Find books The Hive Query Language (HiveQL or HQL) for MapReduce to process structured data using Hive. Hive supports queries expressed in a SQL-like declarative language - HiveQL, which are compiled into map-reduce jobs that are executed using Hadoop. It will Hive is an open source-software that lets programmers analyze large data sets on Hadoop. Read this book using Google Play Books app on your PC, android, iOS devices. • Analysis of large data sets. Data Warehouse and Query Language for Hadoop | Edward Capriolo, Dean Wampler, Jason Rutherglen | download | B–OK. What is Hive? This is why we provide the books compilations in this website. • Familiar SQL dialect. • Hadoop MapReduce jobs. • Ad-hoc queries of data. 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