Manage Azure Data Factory studio preview experience

APPLIES TO: Azure Data Factory Azure Synapse Analytics

You can choose whether you would like to enable preview experiences in your Azure Data Factory.

How to enable/disable preview experience

There are two ways to enable preview experiences.

  1. In the banner seen at the top of the screen, you can click Open settings to learn more and opt in.

    Screenshot of Azure Data Factory home page with an Opt-in option in a banner at the top of the screen.

  2. Alternatively, you can click the Settings button.

    Screenshot of Azure Data Factory home page highlighting Settings gear in top right corner.

    After opening Settings, you will see an option to turn on Azure Data Factory Studio preview update.

    Screenshot of Settings panel highlighting button to turn on Azure Data Factory Studio preview update.

    Toggle the button so that it shows On and click Apply.

    Screenshot of Settings panel showing Azure Data Factory Studio preview update turned on and the Apply button in the bottom left corner.

    Your data factory will refresh to show the preview features.

    Similarly, you can disable preview features with the same steps. Click Open settings to opt out or click the Settings button and unselect Azure Data Factory Studio preview update.

    Screenshot of Azure Data Factory home page with an Opt-out option in a banner at the top of the screen and Settings gear in the top right corner of the screen.

Note

Enabling/disabling preview updates will discard any unsaved changes.

Current Preview Updates

Dataflow data first experimental view

Pipeline experimental view

Monitoring experimental view

Dataflow data first experimental view

UI (user interfaces) changes have been made to mapping data flows. These changes were made to simplify and streamline the dataflow creation process so that you can focus on what your data looks like. The dataflow authoring experience remains the same as detailed here, except for certain areas detailed below.

Configuration panel

The configuration panel for transformations has now been simplified. Previously, the configuration panel showed settings specific to the selected transformation. Now, for each transformation, the configuration panel will only have Data Preview that will automatically refresh when changes are made to transformations.

Screenshot of the configuration panel with only a Data preview tab.

If no transformation is selected, the panel will show the pre-existing data flow configurations: Parameters and Settings.

Transformation settings

Settings specific to a transformation will now show in a pop-up instead of the configuration panel. With each new transformation, a corresponding pop-up will automatically appear.

Screenshot of a pop-up with settings specific to the data flow transformation.

You can also find the settings by clicking the gear button in the top right corner of the transformation activity.

Screenshot of a data flow source transformation with the settings gear in the top right corner highlighted.

Data preview

If debug mode is on, Data Preview in the configuration panel will give you an interactive snapshot of the data at each transform. Data preview now includes Elapsed time (seconds) to show how long your data preview took to load. Columns can be rearranged by dragging a column by its header. You can also sort columns using the arrows next to the column titles and you can export data preview data using Export to CSV on the banner above column headers.

Screenshot of Data preview with Export button in the top right corner of the banner and Elapsed Time highlighted in the bottom left corner of the screen.

Pipeline experimental view

UI (user interface) changes have been made to activities in the pipeline editor canvas. These changes were made to simplify and streamline the pipeline creation process.

Adding activities

You now have the option to add an activity using the Add button in the bottom right corner of an activity in the pipeline editor canvas. Clicking the button will open a drop-down list of all activities that you can add.

Select an activity by using the search box or scrolling through the listed activities. The selected activity will be added to the canvas and automatically linked with the previous activity on success.

Screenshot of new pipeline activity adding experience with a drop-down list to select activities.

Iteration and conditionals container view

You can now view the activities contained iteration and conditional activities.

Screenshot of all iteration and conditional activity containers.

You have two options to add activities to your iteration and conditional activities.

  1. Use the + button in your container to add an activity.

    Screenshot of new activity container with the add button highlighted on the left side of the center of the screen.

    Clicking this button will bring up a drop-down list of all activities that you can add.

    Screenshot of a drop-down list in the activity container with all the activities listed.

    Select an activity by using the search box or scrolling through the listed activities. The selected activity will be added to the canvas inside of the container.

    Screenshot of the container with three activities in the center of the container.

Note

If your container includes more than 5 activities, only the first 4 will be shown in the container preview.

  1. Use the edit button in your container to see everything within the container. You can use the canvas to edit or add to your pipeline.

    Screenshot of the container with the edit button highlighted on the right side of a box in the center of the screen.

    Screenshot of the inside of the container with three activities linked together.

    Add additional activities by dragging new activities to the canvas or click the add button on the right-most activity to bring up a drop-down list of all activities.

    Screenshot of the Add activity button in the bottom left corner of the right-most activity.

    Screenshot of the drop-down list of activities in the right-most activity.

    Select an activity by using the search box or scrolling through the listed activities. The selected activity will be added to the canvas inside of the container.

Monitoring experimental view

UI (user interfaces) changes have been made to the monitoring page. These changes were made to simplify and streamline your monitoring experience. The monitoring experience remains the same as detailed here, except for items detailed below.

Simplified default monitoring view

The default monitoring view has been simplified with fewer default columns. You can add/remove columns if you’d like to personalize your monitoring view. Changes to the default will be cached.

Screenshot of the new default column view on the monitoring page.

Default columns

Column name Description
Pipeline Name Name of the pipeline
Run Start Start date and time for the pipeline run (MM/DD/YYYY, HH:MM:SS AM/PM)
Duration Run duration (HH:MM:SS)
Triggered By The name of the trigger that started the pipeline
Status Failed, Succeeded, In Progress, Cancelled, or Queued
Parameters Parameters for the pipeline run (name/value pairs)
Error If the pipeline failed, the run error
Run ID ID of the pipeline run

You can edit your default view by clicking Edit Columns.

Screenshot of the Edit Columns button in the center of the top row.

Add columns by clicking Add column or remove columns by clicking the trashcan icon.

Screenshot of the Add column button and trashcan icon to edit column view.

Provide feedback

We want to hear from you! If you see this pop-up, please let us know your thoughts by providing feedback on the updates you've tested.

Screenshot of the feedback survey where user can select between one and five stars.

Next steps