SOFTWARE DEMO:
This video describes the value or DB2 Warehouse, a strategic platform to that is the foundation for Information On Demand. View this video to see the complete presentation.
VIDEO:
In this brief video, discover how Banca Carige, a leading bank in Italy with over 700 branches, chose and implemented a large-scale data analytics platform in order to enable real-time analytics in all of its locations, improving business performance and individual client services.
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:
Check out this informative resource to learn what you should consider when choosing architecture for your big data project. Discover the seven top architectural qualities of big data production platforms, and one delivery platform that automates big data workflow for more efficient, effective processing.
WEBCAST:
Join IDC analyst Carl Olofson on January 21, 2014 at 11:00 AM ET (16:00 GMT) in this live webcast event as he discusses how to find business and analytics success in the world of big data.
Posted: 18 Oct 2013 | Premiered: Jan 21, 2014, 11:00 EST (16:00 GMT)
WEBCAST:
This webcast, featuring Sr. Analyst, James Kobielus, Forrester Research, addresses what you need to do in order to establish an agile data services infrastructure that leverages your investments in data virtualization, discovery, transformation, quality, governance, publishing, caching, data warehousing and other key infrastructures.
WEBCAST:
Big data is not just about technology. It's about the value you can extract and the problems you can solve with the technology. This webcast explores five use cases that are excellent starting points for beginning the big data journey. Watch now to learn how to leverage big data technology and strategy for success.
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.