DatriseAI-first ETL

Taboola to Databricks SQL Warehouse Integration

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

How Datrise loads Taboola into Databricks SQL Warehouse

Datrise syncs Taboola's campaigns, campaign items, sites, spend, clicks, and conversions 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

Taboola: Content recommendation and native advertising.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Taboola entities map to Databricks SQL Warehouse

Taboola entityDatabricks SQL Warehouse objectNotes
campaignstaboola_campaignsid PK · custom fields → VARIANT or STRUCT columns
campaign itemstaboola_campaign_itemsid PK · linked to taboola_campaigns
sitestaboola_sitesid PK · linked to taboola_campaigns
spendtaboola_spendid PK · linked to taboola_campaigns

FAQ

How does Datrise handle Taboola'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 Taboola 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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