Azure Data Factory Integration
ETL orchestration: pipelines, datasets, triggers, linked services, pipeline runs
Data & Analytics 21 actions OAuth 2.0 (sign in to authorise)
Start automating Azure Data Factory
ETL orchestration: pipelines, datasets, triggers, linked services, pipeline runs
Data & Analytics 21 actions OAuth 2.0 (sign in to authorise)
Start automating Azure Data FactoryDrag any of these 21 actions into a process — no code, no API wrangling.
Cancel a pipeline run
Create or update a dataset
Create or update a pipeline
Trigger a pipeline run
Create or update a trigger
Delete a dataset
Delete a pipeline
Get dataset definition
Get factory details
Get linked service details
Get pipeline definition
Get pipeline run details
Get trigger definition
List datasets in a factory
List all data factories
List linked services
List pipelines in a factory
List triggers in a factory
Query pipeline runs with filters
Start a trigger
Stop a trigger
Azure Data Factory uses oAuth 2.0 (sign in to authorise). Save the connection once and reuse it across every process.
Drop Azure Data Factory steps onto the process map alongside desktop, browser, Excel and email steps.
Trigger on a schedule, an email, or a file landing in a folder. Credentials stay encrypted and every run is audited.
Because Azure Data Factory has an API, Automize talks to it directly in the cloud — no bot needed on a desktop. Where a system has no API, an Automize bot drives its interface instead.
We build one working Azure Data Factory automation in your business inside a week, at a fixed price.
