DatriseAI-first ETL

Azure Table Storage to Azure Synapse Integration

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

How Datrise loads Azure Table Storage into Azure Synapse

Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Azure Table Storage: Key-value NoSQL store on Azure.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Azure Table Storage entities map to Azure Synapse

Azure Table Storage entityAzure Synapse objectNotes
tablesazure_table_storage_tablesid PK · custom fields → NVARCHAR(MAX) JSON columns
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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Azure Table Storage to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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