AppsFlyer → Spotfire
AI-first ETL from AppsFlyer into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into Spotfire
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How AppsFlyer entities map to Spotfire
| AppsFlyer entity | Spotfire object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → flattened columns for visualizations |
| in-app events | appsflyer_in_app_events | date/time columns events |
| campaigns | appsflyer_campaigns | id PK · linked to appsflyer_installs |
| attribution touchpoints | appsflyer_attribution_touchpoints | id PK · linked to appsflyer_installs |
FAQ
How does Datrise handle AppsFlyer's custom fields in Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the AppsFlyer to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
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