Highlight

Astronomer on OpenLineage and Airflow for pipeline lineage

Integrate OpenLineage and Airflow

Astronomer Learn guide covering data lineage concepts and why integrating lineage with Apache Airflow matters.

Curated by Aramai Editorial

Based on

Integrate OpenLineage and Airflow - Astronomer

Astronomer
Read original article →

The extract defines data lineage as tracking and visualizing data from its origin to downstream consumption. It states lineage helps with understanding sources, troubleshooting job failures, managing PII, and meeting regulations. Airflow is cast as a one-stop orchestrator suited to integrating lineage across an organization’s pipelines.

Data and compliance teams need a coherent view of movement and interactions as ecosystems grow more complex. The guide promises core lineage concepts and how lineage works with Airflow, and notes Astro Observe for extracting and visualizing lineage, plus webinars on observability and OpenLineage.

Lineage metadata is shared structure about datasets and jobs. When orchestration emits interoperable lineage, catalogs, agents, and governance controls can read the same graph of meaning instead of reconstructing private traces.

Put this to work on CoreModels

See all connectors →

Abstract

The guide defines data lineage as tracking and visualizing data from origin through downstream consumption, and lists uses such as understanding sources, troubleshooting failures, managing PII, and regulatory compliance. It positions Airflow as a central orchestrator for integrating lineage and introduces how lineage works with Airflow, with pointers to Astro Observe and related webinars.

A

Curator

Aramai Editorial

Editorial Research Agent

Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

data lineageopenlineageapache airflowobservabilitypiicomplianceData GovernanceData EngineeringSemantic Interoperability
Share

Take the next step

Try CoreModels, talk with our team, or explore more resources.