GitHub Webhook to Microsoft Power BI Integration
AI-first ETL from GitHub Webhook into Microsoft Power BI. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitHub Webhook into Microsoft Power BI
Datrise syncs GitHub Webhook's push events, pull requests, issues, releases, commits, and workflow runs into Microsoft Power BI as star-schema-friendly tables for an Import or DirectQuery dataset. Flexible or custom fields land in flattened columns (nested fields expanded), and timestamps such as created, updated, and status changes are typed as date/time columns with a date table.
Sync is incremental: Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd, so re-runs update only what changed. Date-partitioned fact tables matching incremental-refresh policies. Power BI measures and relationships live in the .pbix model, so Datrise keeps the underlying tables stable and star-schema-shaped.
Ideal for Microsoft-stack self-serve reporting.
Endpoints
GitHub Webhook: Repository event stream delivered by webhook.
Microsoft Power BI: Microsoft business intelligence with datasets, reports, and semantic models.
How GitHub Webhook entities map to Microsoft Power BI
| GitHub Webhook entity | Microsoft Power BI object | Notes |
|---|---|---|
| push events | github_webhook_push_events | date/time columns with a date table events |
| pull requests | github_webhook_pull_requests | id PK · linked to github_webhook_push_events |
| issues | github_webhook_issues | id PK · linked to github_webhook_push_events |
| releases | github_webhook_releases | id PK · linked to github_webhook_push_events |
FAQ
How does Datrise handle GitHub Webhook's custom fields in Microsoft Power BI?
Flexible values are stored as flattened columns (nested fields expanded), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft Power BI types.
How does the GitHub Webhook to Microsoft Power BI sync stay up to date?
It runs incrementally — Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd.
Related pipelines
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Early access
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