DatriseAI-first ETL

Azure Blob Storage to Looker Integration

AI-first ETL from Azure Blob Storage into Looker. Governed entities, incremental sync, typed landing tables.

How Datrise loads Azure Blob Storage into Looker

Datrise syncs Azure Blob Storage's containers, blobs, blob metadata, snapshots, access tiers, and blob versions into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

Azure Blob Storage: Object storage for blobs and data lake files on Azure.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Azure Blob Storage entities map to Looker

Azure Blob Storage entityLooker objectNotes
containersazureblobstorage_containersid PK · custom fields → flattened columns (nested fields expanded for modeling)
blobsazureblobstorage_blobsid PK · linked to azureblobstorage_containers
blob metadataazureblobstorage_blob_metadataid PK · linked to azureblobstorage_containers
snapshotsazureblobstorage_snapshotsid PK · linked to azureblobstorage_containers

FAQ

How does Datrise handle Azure Blob Storage's custom fields in Looker?

Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.

How does the Azure Blob Storage to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

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