Data Quality Management

Categories:

Coming soon | 1 section (1 hour)

 

 

The Data Quality Management Overview provides an overall understanding of key Data Quality Management concepts, methodologies processes and terminologies including profiling, data quality metrics, and stewardship responsibilities.  Upon the completion of this course you will gain insights into key data quality activities such as, parsing, validation, standardization, cleansing, enrichment, scoring, measurement, and exception management.

This course is designed for those with an understanding of Information Management concept, Data warehousing and SQL.

Recommended for:

  • Information Management professionals
  • Master Data Management and Data Quality professionals
  • ETL Developers

Lecturer

adastra