Google PageSpeed Insights to Microsoft Power BI Integration
AI-first ETL from Google PageSpeed Insights into Microsoft Power BI. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google PageSpeed Insights into Microsoft Power BI
Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores 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
Google PageSpeed Insights: Page performance and Core Web Vitals audits.
Microsoft Power BI: Microsoft business intelligence with datasets, reports, and semantic models.
How Google PageSpeed Insights entities map to Microsoft Power BI
| Google PageSpeed Insights entity | Microsoft Power BI object | Notes |
|---|---|---|
| audits | google_pagespeed_insights_audits | id PK · custom fields → flattened columns (nested fields expanded) |
| lab metrics | google_pagespeed_insights_lab_metrics | id PK · linked to google_pagespeed_insights_audits |
| field metrics | google_pagespeed_insights_field_metrics | id PK · linked to google_pagespeed_insights_audits |
| opportunities | google_pagespeed_insights_opportunities | id PK · linked to google_pagespeed_insights_audits |
FAQ
How does Datrise handle Google PageSpeed Insights'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 Google PageSpeed Insights 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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Early access
Connect Google PageSpeed Insights to Microsoft Power BI the easy way
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