DatriseAI-first ETL

Meta Ads Databricks SQL Warehouse

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

How Datrise loads Meta Ads into Databricks SQL Warehouse

Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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

Meta Ads: Facebook and Instagram ad source for spend and engagement.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Meta Ads entities map to Databricks SQL Warehouse

Meta Ads entityDatabricks SQL Warehouse objectNotes
campaign spendmeta_ads_campaign_spendid PK · custom fields → VARIANT or STRUCT columns
impressionsmeta_ads_impressionsid PK · linked to meta_ads_campaign_spend
clicksmeta_ads_clicksid PK · linked to meta_ads_campaign_spend
conversionsmeta_ads_conversionsid PK · linked to meta_ads_campaign_spend

FAQ

How does Datrise handle Meta 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 Meta 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

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