DatriseAI-first ETL

Snapchat Ads to MicroStrategy Integration

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

How Datrise loads Snapchat Ads into MicroStrategy

Datrise syncs Snapchat Ads's campaigns, ad squads, ads, creatives, spend, and conversion metrics 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

Snapchat Ads: Paid campaigns across Snapchat placements.

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

How Snapchat Ads entities map to MicroStrategy

Snapchat Ads entityMicroStrategy objectNotes
campaignssnapchat_ads_campaignsid PK · custom fields → flattened columns
ad squadssnapchat_ads_ad_squadsid PK · linked to snapchat_ads_campaigns
adssnapchat_ads_adsid PK · linked to snapchat_ads_campaigns
creativessnapchat_ads_creativesid PK · linked to snapchat_ads_campaigns

FAQ

How does Datrise handle Snapchat Ads'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 Snapchat Ads to MicroStrategy sync stay up to date?

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

Related pipelines

Early access

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