YouTube Analytics to Azure Synapse Integration
AI-first ETL from YouTube Analytics into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads YouTube Analytics into Azure Synapse
Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
YouTube Analytics: Channel and video performance reporting.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How YouTube Analytics entities map to Azure Synapse
| YouTube Analytics entity | Azure Synapse object | Notes |
|---|---|---|
| videos | youtube_analytics_videos | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| 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 Azure Synapse?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.
How does the YouTube Analytics to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
Related pipelines
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Early access
Connect YouTube Analytics to Azure Synapse the easy way
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