Data Lineage (Planned)

This use case is in development. Want to contribute? See the arcadedb-usecases repository.

Data pipeline lineage tracking with graph traversal for impact analysis, compliance reporting, and debugging data quality issues. Demonstrates modeling ETL/ELT pipelines as directed graphs with transformation metadata.

Planned Features

  • Graph Traversal — Pipeline DAG modeling (sources, transformations, destinations) with upstream/downstream analysis

  • Document Model — Schema snapshots and transformation metadata storage

  • Time Series — Pipeline execution history and data quality metrics

  • Python — Primary implementation for data engineering workflows

Target Scenarios

  • Upstream/downstream impact analysis for schema changes

  • Data quality issue root cause tracing

  • Compliance reporting (which data flows where)

  • Pipeline execution monitoring and alerting