DatriseAI-first ETL

CSV File to Microsoft Power BI Integration

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

How Datrise loads CSV File into Microsoft Power BI

Datrise syncs CSV File's rows, columns, headers, delimiters, file batches, and encodings 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

CSV File: Delimited flat files from exports and drops.

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

How CSV File entities map to Microsoft Power BI

CSV File entityMicrosoft Power BI objectNotes
rowscsv_file_rowsid PK · custom fields → flattened columns (nested fields expanded)
columnscsv_file_columnsid PK · linked to csv_file_rows
headerscsv_file_headersid PK · linked to csv_file_rows
delimiterscsv_file_delimitersid PK · linked to csv_file_rows

FAQ

How does Datrise handle CSV File'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 CSV File 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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