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"...You have to look for where you can find the CPU power, the data storage, and the I/O bandwidth to scale up your predictive modeling efforts. That's the number one thing. The data warehouse is the likely suspect."
- James Kobielus - Forrester Research
Register for this complimentary BriefingsDirect podcast featuring James Kobielus of Forrester Research and Sharmila Shahani-Mulligan of Aster Data and moderated by Dana Gardner of Interarbor Solutions to learn how to:
Push application logic into your data warehouse to speed data mining
Support massive datasets for predictive analytics
Attain unprecedented price-performance ratios

About the speakers:

James Kobielus

James Kobielus, Senior Analyst
Forrester Research

James has a long history in IT research and consulting and has worked for both vendors and research firms. Most recently, he was at Current Analysis, an IT research firm, where he was a principal analyst covering topics ranging from data warehousing to data integration and the Semantic Web. James is a widely published business/technology author and has spoken at many industry events

Sharmila Shahani-Mulligan

Sharmila Shahani-Mulligan, EVP, Marketing
Aster Data

Sharmila most recently was CMO of the Business Technology Optimization business within HP Software, where she was responsible for the go-to-market strategy for a multi-billion dollar software portfolio. Before joining HP, Sharmila served as EVP of Marketing at Opsware, Inc. (NASDAQ: OPSW), a leader in the Data Center Automation market.

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- Podcast with James Kobielus
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