DatriseAI-first ETL

Netsuite Suite Analytics Legacy Yellowfin

AI-first ETL from Netsuite Suite Analytics Legacy into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Netsuite Suite Analytics Legacy into Yellowfin

Datrise syncs Netsuite Suite Analytics Legacy's records, events, and configuration objects 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

Netsuite Suite Analytics Legacy: SaaS or API data source for analytics and warehouse sync.

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

How Netsuite Suite Analytics Legacy entities map to Yellowfin

Netsuite Suite Analytics Legacy entityYellowfin objectNotes
recordsnetsuite_suite_analytics_legacy_recordsid PK · custom fields → flattened columns
eventsnetsuite_suite_analytics_legacy_eventsdate/time dimensions events
configuration objectsnetsuite_suite_analytics_legacy_configuration_objectsid PK · linked to netsuite_suite_analytics_legacy_records

FAQ

How does Datrise handle Netsuite Suite Analytics Legacy'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 Netsuite Suite Analytics Legacy to Yellowfin sync stay up to date?

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

Related pipelines

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