DatriseAI-first ETL

Mssql SQL Server MicroStrategy

AI-first ETL from Mssql SQL Server into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mssql SQL Server into MicroStrategy

Datrise syncs Mssql SQL Server'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

Mssql SQL Server: SaaS or API data source for analytics and warehouse sync.

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

How Mssql SQL Server entities map to MicroStrategy

Mssql SQL Server entityMicroStrategy objectNotes
recordsmssql_sql_server_recordsid PK · custom fields → flattened columns
eventsmssql_sql_server_eventsdate/time dimensions events
configuration objectsmssql_sql_server_configuration_objectsid PK · linked to mssql_sql_server_records

FAQ

How does Datrise handle Mssql SQL Server'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 Mssql SQL Server 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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