Programming Hive
English | PDF | 352 Pages | 8.3 Mb
Need to move a relational database application to Hadoop?
This comprehensive guide introduces you to Apache Hive, Hadoop as data
warehouse infrastructure. You all quickly learn how to use Hive as SQL dialect
Hive to summarize, query, and analyze large datasets stored in Hadoops
distributed file system.
This example-driven guide shows you how to set up and
configure Hive in your environment, provides a detailed overview of Hadoop and
Map Reduce, and demonstrates how Hive works within the Hadoop ecosystem. You
all also find real-world case studies that describe how companies have used
Hive to solve unique problems involving pet bytes of data.
--Use Hive to create, alter, and drop databases, tables,
views, functions, and indexes
--Customize data formats and storage options, from files to
external databases
--Load and extract data from tables and use queries,
grouping, filtering, joining, and other conventional query methods.
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