Data Quality Domains
The Data Quality Domains module details the three main types of data quality domain and how they are essential to key business processes such as data quality rules and data quality transformations and standardisations etc.
The module also gives illustrated industry examples of validation, transformation/standardisation and alias domains, showing how they would be used in an organisation.
Learn what data quality domains are.
Learn what a validation domain is.
Learn what a transformation/standardisation domain is.
Learn what an alias domain is.
Understand how domain tables are built.
Who is Suitable?
Knowledge of Data Quality Rules and data transformations & standardisations would be useful but is not necessary mandatory.
As this is a data assessment and control module the content is especially useful for data profilers and data analysts but would also be a useful for a wide spectrum of data roles; including but not exclusive to data owners, data modellers, data architects and data lineage analysts.
- Is there a difference between data quality domains and reference data?
- How are domain tables produced?
- Can reference data contain CDEs?
- Who is responsible for the maintenance of reference data?
An Interactive Presentation
10+ Interactive Questions
3 Final Practice Tests – 30 questions over 30 minutes
Final Examination – 60 questions over 30 minutes