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SQL/MapReduce Case Study - Fraud Detection
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A large online gaming company catches cases of fraud that previous queries could not detect. And the company reduced its fraud analytics cycle time from one week to 15 minutes.
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Download Now:
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Webcast: MapReduce for Data Warehousing and Analytics |
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TDWI Webinar: Scaling Up to Support Large-Scale Reporting and Analytics |
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TDWI Monograph: Beyond Reporting: Requirements for Large-Scale Analytics |
 We‘re excited about In-Database MapReduce and the promise it offers of scalable execution of advanced statistics without having to move data to a separate statistics platform. 
Scott Becker, CTO Invite Media
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Aster is already pushing the envelope for in-database analytics … through its unique integration of SQL with MapReduce … that scales to potentially thousand of nodes and petabytes of data.
Wayne Eckerson, Director of Research for TDWI
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