IBM IBM Db2 to Yellowfin Integration

How Datrise loads IBM IBM Db2 into Yellowfin

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data 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

IBM IBM Db2: IBM relational database for transactional workloads.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How IBM IBM Db2 entities map to Yellowfin

IBM IBM Db2 entity	Yellowfin object	Notes
tables	`db2_tables`	id PK · custom fields → flattened columns
rows	`db2_rows`	id PK · linked to db2_tables
schemas	`db2_schemas`	id PK · linked to db2_tables
indexes	`db2_indexes`	id PK · linked to db2_tables

FAQ

How does Datrise handle IBM IBM Db2'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 IBM IBM Db2 to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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