Pagerduty to Holistics Integration
AI-first ETL from Pagerduty into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pagerduty into Holistics
Datrise syncs Pagerduty's incidents, services, schedules, escalation policies, log entries, and responders into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Pagerduty: Incident response, on-call schedules, and escalation.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Pagerduty entities map to Holistics
| Pagerduty entity | Holistics object | Notes |
|---|---|---|
| incidents | pagerduty_incidents | id PK · custom fields → flattened columns for the modeling layer |
| services | pagerduty_services | id PK · linked to pagerduty_incidents |
| schedules | pagerduty_schedules | id PK · linked to pagerduty_incidents |
| escalation policies | pagerduty_escalation_policies | id PK · linked to pagerduty_incidents |
FAQ
How does Datrise handle Pagerduty's custom fields in Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Pagerduty to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
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