DatriseAI-first ETL

Azure Blob Storage to GoodData Integration

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

How Datrise loads Azure Blob Storage into GoodData

Datrise syncs Azure Blob Storage's containers, blobs, blob metadata, snapshots, access tiers, and blob versions into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Azure Blob Storage entities map to GoodData

Azure Blob Storage entityGoodData objectNotes
containersazureblobstorage_containersid PK · custom fields → flattened columns
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 GoodData?

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 GoodData types.

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

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

Related pipelines

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