YouTube Analytics to Looker Integration
AI-first ETL from YouTube Analytics into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads YouTube Analytics into Looker
Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
YouTube Analytics: Channel and video performance reporting.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How YouTube Analytics entities map to Looker
| YouTube Analytics entity | Looker object | Notes |
|---|---|---|
| videos | youtube_analytics_videos | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| channels | youtube_analytics_channels | id PK · linked to youtube_analytics_videos |
| views | youtube_analytics_views | id PK · linked to youtube_analytics_videos |
| watch time | youtube_analytics_watch_time | id PK · linked to youtube_analytics_videos |
FAQ
How does Datrise handle YouTube Analytics's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the YouTube Analytics to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for YouTube Analytics
- YouTube Analytics → Looker Studio
- YouTube Analytics → Microsoft Power BI
- YouTube Analytics → Tableau
- YouTube Analytics → Apache Superset
- YouTube Analytics → Metabase
- YouTube Analytics → Amazon QuickSight
- YouTube Analytics → Domo
- YouTube Analytics → Sisense
- YouTube Analytics → ThoughtSpot
- YouTube Analytics → Qlik
- YouTube Analytics → Mode
- YouTube Analytics → Redash
Early access
Connect YouTube Analytics to Looker the easy way
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