What problem does it solve?
Azure Data Factory (ADF) pipelines are prone to failures due to complex nesting rules, activity limits, and intricate linked service requirements. This skill provides critical validation rules and workarounds, ensuring your ADF pipelines are compliant, robust, and deployable without unexpected errors.
Core Features & Use Cases
- Nesting Rule Enforcement: Strictly validates activity nesting, preventing common pipeline design errors and suggesting the "Execute Pipeline" workaround for complex scenarios.
- Resource Limit Checks: Ensures pipelines adhere to ADF limits for activities, parameters, variables, and ForEach concurrent iterations.
- Linked Service Validation: Guides on correct authentication and configuration for Azure Blob Storage and SQL Database, including
accountKind for Managed Identity.
- Use Case: Before deploying a new data ingestion pipeline, use this skill to automatically check for any invalid activity nesting, ensure all linked services are correctly configured for managed identity, and verify that ForEach activities respect batch limits.
Quick Start
Use the adf-validation-rules skill to validate the attached Azure Data Factory pipeline JSON for nesting violations and linked service configuration issues.