DatriseAI-first ETL

YouTube Analytics to MicroStrategy Integration

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

How Datrise loads YouTube Analytics into MicroStrategy

Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

YouTube Analytics: Channel and video performance reporting.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How YouTube Analytics entities map to MicroStrategy

YouTube Analytics entityMicroStrategy 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 MicroStrategy?

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 MicroStrategy types.

How does the YouTube Analytics to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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