DatriseAI-first ETL

Docker Hub to Microsoft Power BI Integration

AI-first ETL from Docker Hub into Microsoft Power BI. Governed entities, incremental sync, typed landing tables.

How Datrise loads Docker Hub into Microsoft Power BI

Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations 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

Docker Hub: Container image registry and distribution.

Microsoft Power BI: Microsoft business intelligence with datasets, reports, and semantic models.

How Docker Hub entities map to Microsoft Power BI

Docker Hub entityMicrosoft Power BI objectNotes
repositoriesdockerhub_repositoriesid PK · custom fields → flattened columns (nested fields expanded)
imagesdockerhub_imagesid PK · linked to dockerhub_repositories
tagsdockerhub_tagsid PK · linked to dockerhub_repositories
pull countsdockerhub_pull_countsid PK · linked to dockerhub_repositories

FAQ

How does Datrise handle Docker Hub'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 Docker Hub 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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