YouTube Analytics to Holistics Integration
AI-first ETL from YouTube Analytics into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads YouTube Analytics into Holistics
Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
YouTube Analytics: Channel and video performance reporting.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How YouTube Analytics entities map to Holistics
| YouTube Analytics entity | Holistics object | Notes |
|---|---|---|
| videos | youtube_analytics_videos | id PK · custom fields → flattened columns for the modeling layer |
| 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 Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the YouTube Analytics to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
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Early access
Connect YouTube Analytics to Holistics the easy way
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