EPISODE · Jun 26, 2009 · 22 MIN
Ensuring Data Quality in Data Integration
from eLearningCurve · host Arkady Maydanchik
With the advancing of time and cumulative growth of corporate databases comes an endless process of upgrading and redesigning the programs responsible for data integration, as well as the databases themselves. The typical result of these dynamics is that information systems get better, while data quality deteriorates. Without a comprehensive data quality-monitoring program, bad data spread like viruses. In this episode of The Learning Curve, data quality guru Arkady Maydanchik discusses various practices that can be put in place to mitigate the problem and maintain high data quality through data integration. Webcast duration is 20 minutes.
What this episode covers
With the advancing of time and cumulative growth of corporate databases comes an endless process of upgrading and redesigning the programs responsible for data integration, as well as the databases themselves. The typical result of these dynamics is that information systems get better, while data quality deteriorates. Without a comprehensive data quality-monitoring program, bad data spread like viruses. In this episode of The Learning Curve, data quality guru Arkady Maydanchik discusses various practices that can be put in place to mitigate the problem and maintain high data quality through data integration. Webcast duration is 20 minutes.
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Ensuring Data Quality in Data Integration
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