sponsored by Voxware, Motorola, and PEAK Technologies
WEBCAST:
Attend this Webcast to learn how this powerful combination provides improved real-time data collection and increased flexibility to make downstream business process changes easily and inexpensively.
Posted: 16 Aug 2007 | Premiered: Aug 29, 2007, 14:00 EDT (18:00 GMT)
WEBCAST:
Join Michael Schroeck, VP & Global Leader, IBM, in this webcast as he discusses the ins and outs of big data and analytics. Uncover what successful businesses are doing to capitalize on their big data, and access exclusive tips and tricks to make your analytics stronger.
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.
WEBCAST:
Predictive analysis can allow your company to make better business decisions, faster. Attend this Webcast to learn how you can gain a competitive edge with real-time Oracle Siebel CRM On Demand Analytics.
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 video tells how Carnival Cruise Lines reduced their datacenter footprint, achieving more efficient IT infrastructure and EqualLogic, PowerEdge servers and VMware, and discusses Carnival's deployment of Oracle data warehouse on EqualLogic PS6010 arrays.
WEBCAST:
In this webcast, AbitibiBowater, the eighth largest publicly traded pulp and paper manufacturer in the world, shares how they successfully virtualized mission-critical Oracle solutions such as JD Enterprise One, Oracle Databases and Oracle Business Intelligence data warehouses.
PODCAST:
In this podcast, learn how Apache Hive is impacting the Hadoop community. Discover Hive's components and capabilities, whether Hive is a viable substitute for the existing warehouse infrastructure, the limitations of this tool, and more.