DatriseAI-first ETL

Source Dynamodb MicroStrategy

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

How Datrise loads Source Dynamodb into MicroStrategy

Datrise syncs Source Dynamodb'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

Source Dynamodb: SaaS or API data source for analytics and warehouse sync.

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

How Source Dynamodb entities map to MicroStrategy

Source Dynamodb entityMicroStrategy objectNotes
recordssource_dynamodb_recordsid PK · custom fields → flattened columns
eventssource_dynamodb_eventsdate/time dimensions events
configuration objectssource_dynamodb_configuration_objectsid PK · linked to source_dynamodb_records

FAQ

How does Datrise handle Source Dynamodb'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 Source Dynamodb 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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