Google PageSpeed Insights to Yellowfin Integration

AI-first ETL from Google PageSpeed Insights into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google PageSpeed Insights into Yellowfin

Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Google PageSpeed Insights: Page performance and Core Web Vitals audits.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Google PageSpeed Insights entities map to Yellowfin

Google PageSpeed Insights entity	Yellowfin object	Notes
audits	`google_pagespeed_insights_audits`	id PK · custom fields → flattened columns
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 Yellowfin?

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 Yellowfin types.

How does the Google PageSpeed Insights to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

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Early access

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