GitHub → MicroStrategy
AI-first ETL from GitHub into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitHub into MicroStrategy
Datrise syncs GitHub's repositories, issues, pull requests, commits, and workflow runs into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.
Ideal for large-scale enterprise reporting and governance.
Endpoints
GitHub: Developer platform for repos, issues, and delivery workflows.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How GitHub entities map to MicroStrategy
| GitHub entity | MicroStrategy 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 MicroStrategy?
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 MicroStrategy types.
How does the GitHub to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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Early access
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