eLearningCurve

Corporate data universe consists of numerous databases connected by countless real-time and batch data interfaces. The data continuously move about and change. The databases are endlessly redesigned and upgraded, as are the programs responsible for the data integration. 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. This course discusses various practices that can be put in place to mitigate the problem and maintain high data quality through data integration.

• The data quality challenges that are inherent in data integration
• The critical role of data quality monitoring in data integration
• Specific techniques to monitor and manage quality for batch data integration
• The impacts of change on data quality and techniques to address those impacts
• How an enterprise integration hub can be applied to managing data quality