DatriseAI-first ETL

Ibm Db2 MicroStrategy

AI-first ETL from Ibm Db2 into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads Ibm Db2 into MicroStrategy

Datrise syncs Ibm Db2's records, events, and configuration objects into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Ibm Db2: SaaS or API data source for analytics and warehouse sync.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Ibm Db2 entities map to MicroStrategy

Ibm Db2 entityMicroStrategy objectNotes
recordsibm_db2_recordsid PK · custom fields → flattened columns
eventsibm_db2_eventsdate/time dimensions events
configuration objectsibm_db2_configuration_objectsid PK · linked to ibm_db2_records

FAQ

How does Datrise handle Ibm Db2's custom fields in MicroStrategy?

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 MicroStrategy types.

How does the Ibm Db2 to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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