Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop\'s Data Warehouse infrastructure.
Dean is a frequent speaker at industry and academic conferen.
Besides Big Data, he specializes in Scala, the JVM ecosystem, Java Script, Ruby, functional and object-oriented programming, and Agile methods.
Dean Wampler is a Principal Consultant at Think Big Analytics, where he specializes in "Big Data" problems and tools like Hadoop and Machine Learning.
He has experience as a developer as well Linux and network administrator and enjoys the rich world of open source software.
Edward is a member of the Apache Software Foundation and a committer for the Hadoop-Hive project.
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 Gain best practices for creating user defined functions (UDFs) Learn Hive patterns you should use and anti-patterns you should avoid Integrate Hive with other Data processing programs Use storage handlers for No SQL databases and other datastores Learn the pros and cons of running Hive on Amazon\'s Elastic Map Reduce About the Author: Edward Capriolo is currently System Administrator at Media6degrees where he helps design and maintain distributed Data storage systems for the internet advertising industry.
You\'ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data.
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\'ll quickly learn how to use Hive\'s SQL dialect--Hive QL--to summarize, query, and analyze large datasets stored in Hadoop\'s distributed filesystem.
Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop\'s Data Warehouse infrastructure
