DatriseAI-first ETL

YouTube Analytics to Yellowfin Integration

AI-first ETL from YouTube Analytics into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads YouTube Analytics into Yellowfin

Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources 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

YouTube Analytics: Channel and video performance reporting.

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

How YouTube Analytics entities map to Yellowfin

YouTube Analytics entityYellowfin objectNotes
videosyoutube_analytics_videosid PK · custom fields → flattened columns
channelsyoutube_analytics_channelsid PK · linked to youtube_analytics_videos
viewsyoutube_analytics_viewsid PK · linked to youtube_analytics_videos
watch timeyoutube_analytics_watch_timeid PK · linked to youtube_analytics_videos

FAQ

How does Datrise handle YouTube Analytics'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 YouTube Analytics to Yellowfin sync stay up to date?

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

Related pipelines

Early access

Connect YouTube Analytics to Yellowfin the easy way

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