GitHub → Yellowfin
AI-first ETL from GitHub into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitHub into Yellowfin
Datrise syncs GitHub's repositories, issues, pull requests, commits, and workflow runs into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
GitHub: Developer platform for repos, issues, and delivery workflows.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How GitHub entities map to Yellowfin
| GitHub entity | Yellowfin object | Notes |
|---|---|---|
| repositories | github_repositories | id PK · custom fields → flattened columns |
| 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 Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the GitHub to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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