DatriseAI-first ETL

Google Drive MicroStrategy

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

How Datrise loads Google Drive into MicroStrategy

Datrise syncs Google Drive's files, folders, permissions, and revision metadata 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

Google Drive: Cloud file storage often used for operational exports.

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

How Google Drive entities map to MicroStrategy

Google Drive entityMicroStrategy objectNotes
filesgoogle_drive_filesid PK · custom fields → flattened columns
foldersgoogle_drive_foldersid PK · linked to google_drive_files
permissionsgoogle_drive_permissionsid PK · linked to google_drive_files
revision metadatagoogle_drive_revision_metadataid PK · linked to google_drive_files

FAQ

How does Datrise handle Google Drive'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 Google Drive to MicroStrategy sync stay up to date?

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

Related pipelines

Early access

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