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.
WEBCAST:
Data warehousing and business intelligence (BI) have evolved. Learn about a cost-effective data warehouse system with advanced analytics that delivers high performance and flexibility to address changing business needs.
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:
This video gives insight into one vendor that specializes in maintaining existing infrastructures while complimenting it with Hadoop. This allows customers to bring in new technology without having to worry about lapses in data protection.
WEBCAST:
Bill Jacobs, Director of Technical Marketing, Sybase IQ, discusses the elements and attributes of Sybase IQ that make it a very economical choice for your business intelligence, analytics, and data warehousing activity. The features in the latest release are highlighted, along with the base characteristics of Sybase IQ.
WEBCAST:
Learn how to make operational BI easy for your organization with real-time delivery of data, fast deployment and pervasive use and adoption by operational users.
Posted: 03 May 2007 | Premiered: May 22, 2007, 14:00 EDT (18:00 GMT)
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:
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.