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)
WEBCAST:
This live webcast will address the applicability of data quality and data integration techniques within product information management (PIM) initiatives. View this webcast to learn how to address these and other facets of PIM initiatives.
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:
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:
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.
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.
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.
WEBCAST:
View the following webcast to uncover what you need to know about big data 2.0. Uncover the 6 building blocks of big data 2.0 that drastically differentiate from big data 1.0. Also gain insights to the ways successful organizations are leveraging new analytics to capitalize on big data 2.0 and much more.