Using SQL to Explore Any Data on Hadoop in the Cloud

Tom Wilson
DBTA and Unisphere Research
Adam Gray
Product Manager
Amazon Elastic MapReduce
Martin Hall
Co-founder, President & CEO

Join Database Trends and Applications (DBTA) for the third in an educational series of webcasts focused on managing and leveraging big data. In our February 17 webcast, DBTA will tackle the issue of exploring and analyzing data of any type via Hadoop in the cloud.

Until now, working with big data was restricted to specialized software developers and required deploying Hadoop and Hive on your own cluster. Now, Karmasphere and Amazon Web Services have teamed to provide a solution for data intensive enterprises to leverage existing SQL skills to query and understand structured and unstructured data of any size in Hadoop.

Attend this live web event to learn how Amazon Elastic MapReduce, a hosted Hadoop web service, combined with Karmasphere Analyst provide a rapid onramp to Big Data using SQL. The presenters will demonstrate how you can explore your big data in the cloud from within a graphical SQL environment in five minutes, with virtually no learning curve. You will see how to discover or create schema from existing data, whether structured or unstructured and then explore and visualize the results with SQL from your desktop.

Learn about customer implementations and how this solution delivers value to enterprises challenged with large, complex and quickly growing data. Join speakers from Amazon Web Services, Karmasphere and Database Trends and Applications on February 17 at 2pm Eastern, 11am Pacific time.

Register today to attend this free webevent.

Audio is streamed over the Internet, so turn up your computer speakers!