Analyzes data dependencies to determine the impact and blast radius of proposed schema or pipeline changes.
This skill empowers data engineers and developers to perform comprehensive impact analysis before modifying data assets. By tracing downstream lineage across tables, Airflow DAGs, and BI dashboards, it identifies direct and indirect consumers to assess risk levels. It facilitates safer deployments by mapping dependency trees, categorizing asset criticality, and identifying relevant stakeholders, ensuring that structural changes do not silently break production reports, ML models, or automated workflows.
Key Features
0177 GitHub stars
02Detailed impact reporting with visual dependency tree representations
03Stakeholder identification through DAG ownership and BI tool metadata
04Automated downstream dependency mapping for SQL tables and Airflow DAGs
05Categorization of impact by criticality levels (Production, High, Medium, Low)
06Schema change risk assessment for column modifications or deletions
Use Cases
01Assessing the 'blast radius' before renaming or deleting a core database column
02Identifying which executive dashboards will be affected if a specific data pipeline is modified
03Mapping the full dependency tree of a warehouse table to plan a large-scale data migration
