The pros and cons of Hadoop data lakes in the cloud

The pros and cons of Hadoop data lakes in the cloud Recently, data lakes have gained increased attention as a technology for capturing and analyzing big data effectively at scale, but they come with a variety of deployment options and considerations you’ll need to take into account. This webcast explores your platform and tool options for deploying data lakes either on-premise or in the cloud. Discover the pros and cons of Hadoop-based data lakes, and learn about topics, like: Data lakes: Definitions and key drivers for adoption Use cases for data lakes across operations, analytics, and compliance Hadoop’s effects on data lake success And more Sponsored by: Oracle Corporation VIEW NOW More on This Webcast: About the Speakers: Philip Russom, PH. D., Senior Research Director for Data Management, TDWI   Erik Bergenholtz, Vice President, Software Development, Big Data, Cloud, Oracle ABOUT THIS E-NEWSLETTER This email is published by the TechTarget Business Applications and Architecture Media Group. Copyright 2017 TechTarget, Inc. All rights reserved. Designated trademarks and brands are the property of their respective owners. To unsubscribe from all TechTarget Business Applications and Architecture Media Group. Go to unsubscribe. TechTarget Security Media Group, 275 Grove Street, Newton, MA 02466 Contact: webmaster@techtarget.com When you access content from this newsletter, your information may be shared with the sponsors of that content as described in our Privacy Policy.

VIEW NOW SPEAKERS Philip Russom, PH. D. Senior Research Director for Data Management, TDWI  Erik Bergenholtz Vice President, Software Development, Big Data, Cloud, Oracle