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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." |
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- James Kobielus - Forrester Research
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| 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: |
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Push application logic into your data warehouse to speed data mining |
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Support massive datasets for predictive analytics |
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Attain unprecedented price-performance ratios |
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About the speakers:
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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 |
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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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For questions regarding this event, please contact info@asterdata.com. |