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SQL/MapReduceCase Study - Transformations

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Where data transformations previously required multiple complex self joins, a media company now uses the SQL/MR function nPath to make a single pass of its data, significantly simplifying the code while improving performance.

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"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

"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