StackAdapt to Birst Integration
AI-first ETL from StackAdapt into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads StackAdapt into Birst
Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, and conversions into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
StackAdapt: Programmatic advertising across native and display.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How StackAdapt entities map to Birst
| StackAdapt entity | Birst object | Notes |
|---|---|---|
| campaigns | stackadapt_campaigns | id PK · custom fields → flattened columns |
| line items | stackadapt_line_items | id PK · linked to stackadapt_campaigns |
| creatives | stackadapt_creatives | id PK · linked to stackadapt_campaigns |
| spend | stackadapt_spend | id PK · linked to stackadapt_campaigns |
FAQ
How does Datrise handle StackAdapt's custom fields in Birst?
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 Birst types.
How does the StackAdapt to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for StackAdapt
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