DatriseAI-first ETL

Azure Table Storage to Looker Integration

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

How Datrise loads Azure Table Storage into Looker

Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps 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 Table Storage: Key-value NoSQL store on Azure.

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

How Azure Table Storage entities map to Looker

Azure Table Storage entityLooker objectNotes
tablesazure_table_storage_tablesid PK · custom fields → flattened columns (nested fields expanded for modeling)
entitiesazure_table_storage_entitiesid PK · linked to azure_table_storage_tables
partition keysazure_table_storage_partition_keysid PK · linked to azure_table_storage_tables
row keysazure_table_storage_row_keysid PK · linked to azure_table_storage_tables

FAQ

How does Datrise handle Azure Table 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 Table 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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