The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, mak- ing traditional warehousing solutions prohibitively expen- sive. Hadoop [3] is a popular open-source map-reduce im- plementation wh
Hive makes life much easier for developers who work with stored and managed data in Hadoop clusters, such as data warehouses. With this example-driven guide, you'll learn how to use the Hive infrastructure to provide data summarization, query, and a
HiveSQL详细和优化，以及部分个人点评 This is a brief tutorial that provides an introduction on how to use Apache Hive HiveQL with Hadoop Distributed File System. This tutorial can be your first step towards becoming a successful Hadoop Developer with Hive.
Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning Hi
Dive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning Hi
Hive data warehouse software enables reading, writing, and managing large datasets in distributed storage. Using the Hive query language (HiveQL), which is very similar to SQL, queries are converted into a series of jobs that execute on a Hadoop clu
