DatriseAI-first ETL

Azure Table Storage Domo

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

How Datrise loads Azure Table Storage into Domo

Datrise syncs Azure Table Storage's records, events, and configuration objects into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Azure Table Storage: SaaS or API data source for analytics and warehouse sync.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Azure Table Storage entities map to Domo

Azure Table Storage entityDomo objectNotes
recordsazure_table_storage_recordsid PK · custom fields → flattened columns for Magic ETL
eventsazure_table_storage_eventsdate/time columns events
configuration objectsazure_table_storage_configuration_objectsid PK · linked to azure_table_storage_records

FAQ

How does Datrise handle Azure Table Storage's custom fields in Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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