Azure Table Storage → Looker Studio
AI-first ETL from Azure Table Storage into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Azure Table Storage into Looker Studio
Datrise syncs Azure Table Storage's records, events, and configuration objects into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Azure Table Storage: SaaS or API data source for analytics and warehouse sync.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Azure Table Storage entities map to Looker Studio
| Azure Table Storage entity | Looker Studio object | Notes |
|---|---|---|
| records | azure_table_storage_records | id PK · custom fields → flattened columns for chart fields |
| events | azure_table_storage_events | date dimension columns events |
| configuration objects | azure_table_storage_configuration_objects | id PK · linked to azure_table_storage_records |
FAQ
How does Datrise handle Azure Table Storage's custom fields in Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Azure Table Storage to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Azure Table Storage
- Azure Table Storage → Microsoft Power BI
- Azure Table Storage → Tableau
- Azure Table Storage → Apache Superset
- Azure Table Storage → Metabase
- Azure Table Storage → Amazon QuickSight
- Azure Table Storage → Domo
- Azure Table Storage → Sisense
- Azure Table Storage → ThoughtSpot
- Azure Table Storage → Qlik
- Azure Table Storage → Mode
- Azure Table Storage → Redash
- Azure Table Storage → Chartio
More sources for Looker Studio
- Azureblobstorage → Looker Studio
- Babelforce → Looker Studio
- Bigcommerce → Looker Studio
- Bigquery → Looker Studio
- Branch → Looker Studio
- Braze → Looker Studio
- Breezometer → Looker Studio
- Bronto → Looker Studio
- Callrail → Looker Studio
- Campaign Monitor → Looker Studio
- Cart → Looker Studio
- Chartmogul → Looker Studio
Early access
Connect Azure Table Storage to Looker Studio the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.