DatriseAI-first ETL

Azure Table Storage to Holistics Integration

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

How Datrise loads Azure Table Storage into Holistics

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

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

How Azure Table Storage entities map to Holistics

Azure Table Storage entityHolistics objectNotes
tablesazure_table_storage_tablesid PK · custom fields → flattened columns for the modeling layer
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 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 Table 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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