Managing data flows
What you can do with a data flow depends on the type of space where the data flow is located. In your personal space, you can manage your own data flows. In a shared space, depending on your permissions in that space, you can manage both your own data flows and those of other users. In managed spaces, there are fewer options for managing data flows as access is more governed. For more information about what you can do, see Data flow roles and permissions.
From your catalog, and depending on the space, you can:
Adding data flows to collections
Collections enable you to group content such as data flows, apps, charts, notes and links. To add a data flow to a collection, click 
> Add to collection.
By default, collections are private. Tenant admins and analytic admins can make collections public to share them with all other members of the tenant. Public collections do not change members' access to content in spaces. Members will only be able to see content in public collections to which they already have access. To make a collection public, click on the collection, select Make public, and click Make public. To make a public collection private again, click , select Make private, and click Make private.
Moving data flows
You can move data flows between shared spaces as well as between a shared space and a personal space.
If you move a data flow with a run schedule between spaces, the run schedule is deleted. Recreate the schedule in the new space if required.
Do the following:
- Click on the data flow and select Move.
- Select the new space from Space.
- To open the new space, select Navigate to space.
- Click Move.
Editing data flow details
You can change the titles and descriptions of your data flows. Click on the data flow that you want to edit and then select Edit details. You can also change the tags used with the data flow. Tags are used to group data flows with related scripts and apps. Tags are shared in the Qlik Cloud Analytics activity center, but you can only see tags you have created yourself or that are used with apps, data flows and scripts to which you have access.
Publishing data flows
You can publish data flows from a personal space to a managed space, or share space to a managed space. Publishing creates a copy of the data flow in the managed space. You must have the Owner or Can publish permission in the managed space to which you are publishing the data flow.
You can view the spaces that a data flow has been published to in Details.
Data flows indicate when they were last published to a managed space in the publish dialog.
Do the following:
- Click on the data flow and select Publish.
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Select a managed space.
- Optionally, change the Published data flow name, Description, and Tags of the data flow.
- Click Publish.
Duplicating data flows
You can duplicate any data flow you have access to by clicking on the data flow and then selecting Duplicate. The duplicate can be modified.
Duplicating data flows has several uses. For example, you can duplicate a data flow as a form of version control, and store older ones a space created for archival purposes.
Duplicated data flows keep the original data sources. If you did not create the original data sources used in the data flow or if they are not available in the space, you will have to recreate data sources in the data flow.
Running data flows
You can manually run your flow from the catalog, without having to go to the Editor view. The latest configuration of the flow will be used, along with the latest data from the data source. A new output will be generated if the run is successful.
Do the following:
- Click on the data flow and select Reload now.
Scheduling data flows runs
Create tasks to schedule runs for your data flow. The schedule can use time-based or event-based triggers.
To create a task:
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Do one of the following:
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In your activity center, click
on the data flow and select Schedule. -
In your data flow, open the Overview section and click
> Run schedule.
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Click Create new task.
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For Task name, enter a name for the task.
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Optionally add a Description.
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Under Based on, select the trigger for the task. You have the following options:
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Time-based: Schedule the refresh to occur at a specific point in time. Then, configure the task with the associated settings for that trigger. For details, see Time-based schedules.
The following time-based triggers are available:
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Daily
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Weekly
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Monthly
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Yearly
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Event-based: Schedule the refresh to start when a specific event takes place. For details, see Event-based schedules.
The following event-based triggers are available:
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Another task succeeded
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Another task failed
Information noteUse event-based triggers to create task chains for refreshing data. For further instructions, see Creating task chains for data refreshes. -
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Time-based schedules
When you create a time-based schedule, you can choose:
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The frequency and interval of the refresh
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The timezone and time of day
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How long the schedule will be in effect
Repeating refreshes can be set at the following intervals:
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Daily: Set the times per day, timezone, and the time of day.
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Weekly: Set the days of the week, times per day, timezone, and time of day.
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Monthly: Set the days of the month, times per day, timezone, and time of day.
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Yearly: Set the months, days of the month, times per day, timezone, and time of day.
For schedules running multiple times per day at any interval, you can also define the hours of the day within which the schedule runs. Specify a specific time for the schedule to start that day.
By default, schedules will run continuously, with no end date. You can choose to set a start date, an end date, or to only run the schedule between two dates.
Event-based schedules
Event-based schedules allow you to chain together tasks for different apps, scripts, and data flows. This is useful for sequential refreshes of these assets.
For more information, see Creating task chains for data refreshes.
Managing tasks
You can manage existing tasks if you have the permissions to do so.
To view and manage tasks:
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Do one of the following:
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In your activity center, click
on the data flow and select Schedule. -
In your data flow, open the Overview section and click
> Run schedule.
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Click
next to a task, and select any of the available options. Alternatively, switch to the History tab to view a detailed history for when the task was executed.
For more information, see Managing tasks for data refreshes.
Limitations and considerations
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A task for refreshing data is deactivated if it fails to execute five times in a row. If you own the task, you will receive notifications when this happens. Notification settings can be customized for a single app, all apps in a space, or all apps in a tenant. For more information, see Ownership of tasks.
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If the task owner leaves or is deleted from the tenant, another user has to take ownership of the task, or delete and recreate it. Otherwise, its scheduled refreshes will fail. For information about how to change this ownership, see Ownership of tasks.
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If you have a high number of queued and executing data refresh processes (and additional concurrent CPU and memory intensive processes), you might notice that some refresh processes execute, in some cases, noticeably after their scheduled start time.
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Tasks for refreshing data are not included for the published copy of a data flow. Published data flows must have their tasks reconfigured on the version in the managed space.
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If your data flow has tasks for refreshing data, and you move it between spaces (personal or shared spaces), these tasks are deactivated. You can reactivate them when ready to resume the scheduled refreshes. See Activating and deactivating a task.
Ownership of tasks
A task for data refreshes runs on behalf of the user who owns the task rather than the owner of the app, script, or data flow. For the task to run successfully, the task owner must still have the correct access to the app, script, or data flow and its data sources. Certain actions result in changes to who owns the task. The task owner is determined by the following rules:
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When you create a task for running a data flow, you become the owner of that task.
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If another user edits or saves an existing task, they become the new owner of that task.
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If another user modifies the data flow in Editor, they become the new owner of all tasks for scheduled runs of that data flow.
Administering tasks for refreshing data
Tenant admins and analytics admins can edit and delete tasks for scheduled data refreshes. This is done in the Administration activity center. For more information, see:
Configuring data flows notifications
You can access the notifications configuration panel of a data flow to set or modify which event will trigger a notification, and on which support to receive it.
Do the following:
- Click on the data flow and select Notifications.
Seeing data flow details
Using this option will lead you to the Overview page of the data flow, where you can see all the general information of your data flow. See Overview.
Do the following:
- Click on the data flow and select Details.
Viewing lineage
Lineage tracks data and data transformation backwards from the data flow to its original sources. This provides an interactive representation of the origins of the data that this data flow processes. For more information on lineage, see Analyzing lineage for apps, scripts, and datasets.
Do the following:
- Click on the data flow and select Lineage.
Viewing impact analysis
Impact analysis shows the downstream dependencies of data flows outputs. It answers questions about what other apps, scripts, or other resources would be directly or indirectly impacted by changes to the data flow. For more information on impact analysis, see Analyzing impact analysis for apps, scripts, and datasets.
Do the following:
- Click on the data flow and select Impact analysis.
Exporting data flows
You can export data flows from the Analytics activity center as .dfw files. These can be uploaded into other Qlik Cloud Analytics tenants or Qlik Sense versions.
The exported data flow is saved in the default download folder of your web browser.
Do the following:
- Click on the data flow you want to export and select Export.
Converting data flows to script
You can convert data flows into scripts. Converting duplicates the data flow and then converts it into a script.
Do the following:
- Click on the data flow you want to export and select Duplicate and convert to script.
- Click Confirm.
Deleting data flows
Do the following:
- Click on the data flow you want to delete and select Delete.
- Click Delete.