DatriseAI-first ETL

JSON File to MicroStrategy Integration

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

How Datrise loads JSON File into MicroStrategy

Datrise syncs JSON File's documents, nested objects, arrays, keys, file batches, and schemas 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

JSON File: Structured JSON documents from exports and drops.

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

How JSON File entities map to MicroStrategy

JSON File entityMicroStrategy objectNotes
documentsjson_file_documentsid PK · custom fields → flattened columns
nested objectsjson_file_nested_objectsid PK · linked to json_file_documents
arraysjson_file_arraysid PK · linked to json_file_documents
keysjson_file_keysid PK · linked to json_file_documents

FAQ

How does Datrise handle JSON File'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 JSON File 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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