Ensuring Data Quality in Data Integration: Practical Skills

Arkday Maydanchik
Co-Founder
Data Quality Group, LLC

Tuesday 8:30am - 5:00pm

Level: Intermediate

Corporate data universe consists of numerous databases connected by countless real-time and batch data interfaces. The data continuously move about and change. The typical result of these dynamics is that data quality deteriorates. Without a comprehensive data quality monitoring program bad data spread like viruses. This course discusses various data integration architectures and discusses methods for monitoring data quality for each one. Included are solutions for real-time and batch interface data quality monitoring, approaches for design of an information integration hub, and techniques for monitoring unexpected changes. It is a “practical skills” course, and thus it will present a “how-to” guide and practical solutions ready for immediate implementation. Attendees will learn:

• The data quality challenges that are inherent in data integration
• The critical role of data quality monitoring in data integration
• Specific techniques to monitor quality for real-time data integration
• Specific techniques to monitor quality for batch data integration
• How an information integration hub can be applied to managing data quality

Arkady Maydanchik is a recognized practitioner, author, and educator in the field of data quality and information integration. Arkady wrote numerous articles and authored the book "Data Quality Assessment for Practitioners." He is a frequent speaker at various conferences and teaches his "Practical Skills for Data Quality" courses on-site.