Smart data domains, also referred to as example-based data domains, provide a flexible and dynamic approach to data categorization within the EDC (Enterprise Data Catalog). Unlike traditional data domains that rely on predefined and rigid rules, smart data domains are highly adaptable, allowing users to create and manage them on-the-fly.
In the EDC, users can dynamically create smart data domains by directly tagging relevant columns within the catalog. This process is straightforward: a user associates a specific column with a smart data domain, and this association is then automatically extended to similar columns across the catalog. The system intelligently identifies columns that share similarities with the tagged column, facilitating the propagation of the data domain throughout the dataset.
This method enhances efficiency and accuracy in data management, as it reduces the need for manual tagging and ensures consistent classification of similar data across the enterprise. By leveraging smart data domains, users can achieve a more intuitive and streamlined approach to data governance and metadata management in the EDC environment.
- The source system to which the Smart data domain will be tagged must be scanned.
- Familiarity with the data objects to which the data domain will be tagged is required.
- Knowledge of Data domain propagation resources.
- Knowledge of Similarity Discovery resource.
- Gain an understanding of what constitutes a Smart Data Domain.
- Learn the distinctions between regular data domains and smart data domains.
- Acquire knowledge on how to propagate smart data domains.
- Understand what a Smart Data Domain is and how to propagate it to similar data objects using the Data Domain Propagation Scanner.
- Developer
- Architect
Ask An Expert
Feature Clarity
Enterprise Data Catalog
Ask An Expert
Implement
Adoption - Technical
Functional
AAE-EDC-014
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