WEBCAST:
This valuable webcast explains how you can go from a data strategy focused on data collection to one that drives business innovation by transforming the ways that you think about and apply data governance and architecture.
WEBCAST:
This brief on-demand video introduces an analytics platform designed for today's big data 2.0 world that delivers the key capabilities you need in order to leverage all of your available data.
WEBCAST:
In this exclusive webcast, learn how you can use big data to create new business value, maintain relevance, and achieve greater operational efficiency.
WEBCAST:
This webcast counts down five essential use cases for big data that can help your organization gain a competitive advantage and fuel success. Tune in today to learn more.
VIDEO:
In this short video, discover the latest from Oracle's analytics platforms, a system that balances between low TCO, short deployment time, eminently agile and scalable, and end-user oriented.
VIDEO:
This brief video introduces a big data discovery strategy that puts the power of big data in your hands – allowing you to affordably justify and prove your big data innovations before you put them to work.
VIRTUAL ENVIRONMENT:
This on-demand webcast takes an inside look at big data and Hadoop adoption, and offers key recommendations to help you find Hadoop analytics success.
WEBCAST:
The following webcast depicts the best way to sift through your data to find the most relevant and actionable insight. Discover the importance of mining intelligence from data and what you can do to take advantage of this ability to help drive your business forward.
WEBCAST:
Though a great amount of valuable information lies within documents, e-mails, and other media, integrating this data into modern analytics applications is challenging. Join Sybase and Kapow on Tuesday, June 15th at 1:00 PM ET to learn how enterprises are motivated to deploy text analytics capabilities for its wide range of intelligence benefits.
Posted: 12 May 2010 | Premiered: Jun 15, 2010, 13:00 EDT (17:00 GMT)