DatriseAI-first ETL

Snapchat Ads to Databricks SQL Warehouse Integration

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

How Datrise loads Snapchat Ads into Databricks SQL Warehouse

Datrise syncs Snapchat Ads's campaigns, ad squads, ads, creatives, spend, and conversion metrics into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

Snapchat Ads: Paid campaigns across Snapchat placements.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Snapchat Ads entities map to Databricks SQL Warehouse

Snapchat Ads entityDatabricks SQL Warehouse objectNotes
campaignssnapchat_ads_campaignsid PK · custom fields → VARIANT or STRUCT 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 Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Snapchat Ads to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

Early access

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