DatriseAI-first ETL

Azure Table Storage Spreadsheets

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

How Datrise loads Azure Table Storage into Spreadsheets

Datrise syncs Azure Table Storage's records, events, and configuration objects into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

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

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Azure Table Storage entities map to Spreadsheets

Azure Table Storage entitySpreadsheets objectNotes
recordsazure_table_storage_recordsid PK · custom fields → JSON-stringified cells for nested fields
eventsazure_table_storage_eventsISO-8601 text or serial date cells 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 Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

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

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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