EPISODE · Jun 19, 2009 · 21 MIN
The Data Model Scorecard
from eLearningCurve · host Steve Hoberman
Given the far-reaching and long-lasting implications of data models, and the temporal and financial realities of the environments that models are typically constructed in, the importance of effectively creating an objective measure of data model quality comes to light. In this episode of The Learning Curve, data quality specialist Steve Hoberman will provide insight into the tools and techniques needed to strengthen data models. In this 20-minute Webcast, he will outline the creation and application of data model scorecards and the use of automated tools to enforce modeling best practices and standards.
What this episode covers
Given the far-reaching and long-lasting implications of data models, and the temporal and financial realities of the environments that models are typically constructed in, the importance of effectively creating an objective measure of data model quality comes to light. In this episode of The Learning Curve, data quality specialist Steve Hoberman will provide insight into the tools and techniques needed to strengthen data models. In this 20-minute Webcast, he will outline the creation and application of data model scorecards and the use of automated tools to enforce modeling best practices and standards.
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The Data Model Scorecard
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