Check validation errors

Data Integrity Suite

Product
Spatial_Analytics
Data_Integration
Data_Enrichment
Data_Governance
Precisely_Data_Integrity_Suite
geo_addressing_1
Data_Observability
Data_Quality
dis_core_foundation
Services
Spatial Analytics
Data Integration
Data Enrichment
Data Governance
Geo Addressing
Data Observability
Data Quality
Core Foundation
ft:title
Data Integrity Suite
ft:locale
en-US
PublicationType
pt_product_guide
copyrightfirst
2000
copyrightlast
2026

To view validation errors for a transformation step and a Quality Pipeline, click on the corresponding symbol on the step. This will open a pop-up box displaying the step name and descriptions of any issues, including errors, warnings, or data issues. For data issues, you can navigate through the sample data table to highlight the relevant cells. Pipelines are validated using sample data, which may result in errors, warnings, or data issues. On the Pipelines page, any pipeline that cannot run will be marked as Invalid in the Status column.

Validation errors on transformation step

To check validation errors during the transformation step, follow these steps:
  1. On the main navigation menu, click Quality > Pipelines. Find the pipeline that shows Invalid in the Status column.
  2. In the Name column for the invalid pipeline, click the ellipsis, then click Edit. This displays the pipeline and its sample data in the pipeline editor.
  3. On the pipeline panel, look for steps that show a warning, error, or data error symbol on the step.
  4. To view errors, warnings, or data issues for a pipeline step, click the warning, error, or data issue symbol on the step. A pop-up box displays the step name and descriptions of warnings, errors, or data issues for the pipeline step.

Validation errors on quality pipeline

To check validation errors on quality pipeline, follow these steps:
  1. On the main navigation menu, click Quality > Pipelines.
  2. In the Name column for the invalid pipeline, click the ellipsis, then click Edit. This displays the pipeline and its sample data in the pipeline editor. Counts of errors, warnings, or data errors appear in a box at the top-right corner of the pipeline pane.
  3. Click the box in the top right corner of the pipeline pane that shows error, warning, and data error counts.
  4. This expands a panel that identifies and describes errors, warnings, and data errors for all steps in a pipeline. For data issues, you can browse forward and backward to highlight corresponding cells in the sample data table.