Hadoop is a common solution for companies and research organizations taking advantage of the Big Data revolution. Many find that as their data grows, their IT infrastructure and budget cannot keep up with the storage and computational demands required.
Google Cloud Platform provides a compelling alternative to purchasing and managing more servers and storage devices by providing consistent high performance virtual machines that you can pay for by the minute. To help you get started we are releasing two solution papers and two sample applications to get you up and running with Hadoop on the Google Cloud Platform. Learn more on the solution page.
Apache Hadoop, Hive, and Pig on Google Compute Engine
Have you heard about Hadoop, MapReduce, Hive, or Pig, but aren’t sure why you would use them? Or are you already running Hadoop and related tools on-premise and want to know what it will look like on Google Compute Engine? Read the solution paper, a complete guide to help you.
Managing Hadoop Clusters on Google Compute Engine
Are you already running a long-lived, mission critical Hadoop cluster on Google Compute Engine and looking for management advice? Read the solution paper for a comprehensive review on how to manage them.
Get the code and get going
Launching and managing multiple machine instances, setting up users, assigning appropriate permissions, and installing and configuring software can be a minefield that lies between you and productivity. Our sample applications get you up and running quickly.
Download or fork the GitHub projects:
- Posted by Matt Bookman, Solutions Architect
“Apache," "Apache Hadoop," "Hadoop," "Apache Hive," "Hive," "Apache Pig," and "Pig" are trademarks of the Apache Software Foundation.
Tuesday, 10 September 2013
Running Apache Hadoop on Google Cloud Platform
Posted on 06:00 by Unknown
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