Apache Airflow
Workflow orchestration for scheduled data and integration jobs
Polygrade integrates with Apache Airflow as a data destination, not a claims source. Apache Airflow is the workflow orchestration tool many data teams use to schedule and monitor their ETL and reporting jobs. Polygrade writes claim, parts, and payment events into it for reporting and analytics.
Apache Airflow is the workflow orchestration tool many data teams use to schedule and monitor their ETL and reporting jobs. For Polygrade, Apache Airflow isn’t a claims system to read from, it’s the orchestration layer that can schedule and monitor Polygrade’s data exports. The direction runs the other way from most of Polygrade’s integrations: Polygrade is the source, Apache Airflow is the destination.
What Polygrade writes into Apache Airflow
As Polygrade works a claim, intake, triage, authorization, parts sourcing, and payment, it generates a structured record of what happened at every stage. That record is what flows into Apache Airflow: scheduled export jobs for claim, parts, and payment data.
Every one of those events traces back to a real interaction, a homeowner’s SMS thread, a technician’s status update, a supplier’s shipping confirmation, not a manual log entry. That’s what makes the data landing in Apache Airflow usable for analysis rather than another reporting gap to fill by hand.
That includes the metrics Polygrade is built to move: homeowner SMS engagement, truck rolls avoided through triage, parts procurement overspend identified against optimal routing, and cycle time from claim to payment, all landing in Apache Airflow in a form your team can query directly.
How the Apache Airflow connection works
Polygrade’s data export can run as a task in an existing Airflow DAG, so your data team monitors and schedules it the same way it monitors everything else feeding your warehouse.
A Forward Deployed Engineer sets up the export format and schedule against Apache Airflow during deployment, matching whatever structure your existing reporting already expects.
What stays in Apache Airflow
Everything else already living in Apache Airflow, your other data sources, existing models, and reporting logic, is untouched. Polygrade adds a new, accurate source of claims data; it doesn’t touch what’s already there.
Data handling and security
Data written into Apache Airflow comes from a company-specific Polygrade instance, one client’s claim and financial data are never accessible to another before they reach Apache Airflow. Polygrade is SOC 2 compliant, with both Type I and Type II audits complete.
Every underlying recommendation that produced the data landing in Apache Airflow carries a confidence level and the inputs behind it, so the data itself is auditable back to the decision that created it.
Deploying the integration
A dedicated Forward Deployed Engineer configures the export into Apache Airflow to match your schema and cadence, so it plugs into existing dashboards and models rather than requiring new tooling.
Frequently asked questions about Polygrade and Apache Airflow
Does Polygrade read claims from Apache Airflow?
No. Apache Airflow is a destination for Polygrade’s own claim, parts, and payment data, not a source Polygrade reads a claim record from.
How does Polygrade connect to Apache Airflow?
Polygrade’s data export can run as a task in an existing Airflow DAG, so your data team monitors and schedules it the same way it monitors everything else feeding your warehouse.
What kind of data lands in Apache Airflow?
Scheduled export jobs for claim, parts, and payment data, structured and ready to query alongside whatever else already lives in Apache Airflow.
