DatriseAI-first ETL

Azure Blob Storage to Holistics Integration

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

How Datrise loads Azure Blob Storage into Holistics

Datrise syncs Azure Blob Storage's containers, blobs, blob metadata, snapshots, access tiers, and blob versions into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

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

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Azure Blob Storage entities map to Holistics

Azure Blob Storage entityHolistics objectNotes
containersazureblobstorage_containersid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

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

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

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

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