DatriseAI-first ETL

Opsgenie to Databricks SQL Warehouse Integration

AI-first ETL from Opsgenie into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Opsgenie into Databricks SQL Warehouse

Datrise syncs Opsgenie's alerts, incidents, schedules, escalations, teams, and notification logs into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

Opsgenie: On-call alerting and incident escalation.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Opsgenie entities map to Databricks SQL Warehouse

Opsgenie entityDatabricks SQL Warehouse objectNotes
alertsopsgenie_alertsid PK · custom fields → VARIANT or STRUCT columns
incidentsopsgenie_incidentsid PK · linked to opsgenie_alerts
schedulesopsgenie_schedulesid PK · linked to opsgenie_alerts
escalationsopsgenie_escalationsid PK · linked to opsgenie_alerts

FAQ

How does Datrise handle Opsgenie's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Opsgenie to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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