Data quality SLA rules monitor the data quality of critical data elements, for example, data that serves as input to regulatory reporting, and can initiate remediation tasks for quality issues.
Data quality SLA rules apply to data assets in projects and can be assessed as part of metadata enrichment. For more information, see Designing metadata enrichment.
Depending on the result of the evaluation, SLA rule compliance or violations are reported on the Data quality page of a data asset that is subject to a data quality SLA rule. See Data quality SLA rule compliance and remediation.
A data quality SLA rule consists of a rule condition and an optional action. The rule condition defines the data elements and the quality criteria to monitor. A basic SLA rule applies to data assets as a whole that are selected by name or by assigned business terms. You can create a finer-grained rule by including subconditions to make the rule apply to individual columns within the selected data assets. You can also set up data quality SLA rules that apply to specific columns in various data assets.
The quality criteria define thresholds for quality scores. The scores of all quality checks that were run on a data asset are aggregated for the data asset, its columns, and the data quality dimensions. The thresholds are applied to the aggregated scores. The selected action determines whether only the results of the SLA rule evaluation are reported or whether a remediation workflow is triggered if the data doesn't meet the quality criteria of the rule condition.
For example, you can create a data quality SLA rule that triggers the default remediation workflow if the completeness and validity dimension scores of any column that is named EMAIL, EMAIL_ADDRESS, or MAILTO in data assets with the assigned business
term Customer contact
are not 100%. The definition of that rule consists of a nested condition and an action:
This data quality SLA rule is assessed whenever a metadata enrichment that includes the respective asset is run with the Monitor data quality with SLA rules option.
Learn more
- Designing data quality SLA rules
- Managing data quality SLA rules
- Data quality SLA rule compliance
- Managing workflows for data quality remediation tasks
Parent topic: Governance artifacts