GitHub → Holistics
AI-first ETL from GitHub into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitHub into Holistics
Datrise syncs GitHub's repositories, issues, pull requests, commits, and workflow runs 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
GitHub: Developer platform for repos, issues, and delivery workflows.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How GitHub entities map to Holistics
| GitHub entity | Holistics object | Notes |
|---|---|---|
| repositories | github_repositories | id PK · custom fields → flattened columns for the modeling layer |
| issues | github_issues | id PK · linked to github_repositories |
| pull requests | github_pull_requests | id PK · linked to github_repositories |
| commits | github_commits | id PK · linked to github_repositories |
FAQ
How does Datrise handle GitHub'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 GitHub to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
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