For anyone who is creating a data warehouse, data quality should be one of the top priorities. In order to trust the results of data analysis, high-quality data is essential. This course discusses strategies for data quality projects.
Data Quality Projects
- start the course
- describe data quality knowledge base management
- use the data quality client
- create a data quality knowledge base domain
- create a data quality project
- improve data quality
- describe identity mapping and deduplication
- describe how to handle history and data quality
- manage the domains and data in a knowledge base
If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.