MoEngage → Yellowfin
AI-first ETL from MoEngage into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into Yellowfin
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
MoEngage: Customer engagement source for campaigns and retention metrics.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How MoEngage entities map to Yellowfin
| MoEngage entity | Yellowfin object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | date/time dimensions events |
| campaign performance | moengage_campaign_performance | id PK · linked to moengage_engagement_events |
| retention behavior signals | moengage_retention_behavior_signals | id PK · linked to moengage_engagement_events |
FAQ
How does Datrise handle MoEngage's custom fields in Yellowfin?
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 Yellowfin types.
How does the MoEngage to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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Early access
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