Triggers a full data quality computation for a dataset, running profile calculation followed by data quality
assessment. Returns a computationId that can be used to track progress via the computation status endpoint
(GET /data-governance/data-qualities/computations/{computationId}). The computation runs asynchronously.
Poll the status endpoint until status is SUCCEEDED or FAILED.
Retrieves the latest computed field quality metrics for a list of datasets. The maximum number of datasets is 100. When a dataset has been analyzed through multiple connections, the response returns the result from the most recently computed connection.
Retrieves the latest computed global quality metrics for a list of datasets. The maximum number of datasets is 100. When a dataset has been analyzed through multiple connections, the response returns the result from the most recently computed connection.
Retrieves the status of a batch computation, including per-dataset statuses.
Retrieves the current execution status of a data quality computation. Poll this endpoint after triggering a
computation to determine when results are available. The status field returns one of REQUESTED,
SUBMITTED, PROFILE_REQUESTED, SUCCEEDED, FAILED, or PROFILE_FAILED.
Retrieves the global quality results for a dataset, showing counts of valid, invalid, empty, and total sample cells.
Clears the cache for data-qualities api requests.