Taboola to MicroStrategy Integration
AI-first ETL from Taboola into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Taboola into MicroStrategy
Datrise syncs Taboola's campaigns, campaign items, sites, spend, clicks, and conversions 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
Taboola: Content recommendation and native advertising.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Taboola entities map to MicroStrategy
| Taboola entity | MicroStrategy object | Notes |
|---|---|---|
| campaigns | taboola_campaigns | id PK · custom fields → flattened columns |
| campaign items | taboola_campaign_items | id PK · linked to taboola_campaigns |
| sites | taboola_sites | id PK · linked to taboola_campaigns |
| spend | taboola_spend | id PK · linked to taboola_campaigns |
FAQ
How does Datrise handle Taboola'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 Taboola to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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