DatriseAI-first ETL

Secoda to Microsoft Power BI Integration

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

How Datrise loads Secoda into Microsoft Power BI

Datrise syncs Secoda's tables, columns, dictionaries, lineage edges, owners, and documentation entries 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

Secoda: Data catalog, lineage, and documentation.

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

How Secoda entities map to Microsoft Power BI

Secoda entityMicrosoft Power BI objectNotes
tablessecoda_tablesid PK · custom fields → flattened columns (nested fields expanded)
columnssecoda_columnsid PK · linked to secoda_tables
dictionariessecoda_dictionariesid PK · linked to secoda_tables
lineage edgessecoda_lineage_edgesid PK · linked to secoda_tables

FAQ

How does Datrise handle Secoda'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 Secoda 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

Early access

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