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cis6930fa11_Potter's_Wheel

cis6930fa11_Potter's_Wheel - PottersWheel An Interactive...

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Potter’sWheel: An Interactive Data Cleaning System Vijayshankar Raman and Joseph M. Hellerstein University of California at Berkeley
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Overview Current approaches to Data Cleaning Problems in current approaches Potter’s Wheel Approach Potter’s Wheel Architecture Extensible Discrepancy Detection Interactive Transformations Supported Transforms
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Current Approaches to Data Cleaning Data Cleaning has three Components: Auditing data for finding discrepancies Choosing transformations to fix these, and Applying these transformations on the dataset . Many commercial solutions available Auditing tools Unitech Systems’ ACR/Data Evoke Software’s Migration Architect Transformation tools ETL tools like Data Junction or DataStage by Ascential Software.
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Problems in the current approach Lack of Interactivity Done as a batch process causing long delays User has no idea whether transformations are effective or not. Decoupling transformations and discrepancy detection.
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  • Fall '08
  • Staff
  • Computer program, Extract, transform, load, Interactive Transformations, discrepancy detection, Extensible Discrepancy Detection

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