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:
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:
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:
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.
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.
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:
Access this webcast with insight from Forrester Consulting to understand the impact of leveraging a data integration platform as part of an overall information architecture integration strategy for maximum business impact.
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.