
When this happens...

Automatically do this!
Get Tasks
Create Batch
Pause Batch
Resume Batch
Finalize a batch
Cancel Batch
Enable Integrations or automations with these events of Looker Studio (Google Data Studio) and Scale
Search a user's Looker Studio assets.
Retrieves a list of permissions for a given Looker Studio asset.
Give one or more people, groups, or domains a Viewer, Editor, Owner, or link role on a Looker Studio asset.
Retrieve all the tasks for given project.
Create a new batch in a project to group related tasks for processing.
Pause processing of an in-progress Batch. Only unstarted tasks will be paused.
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To start, connect both your Looker Studio (Google Data Studio) and Scale accounts to viaSocket. Once connected, you can set up a workflow where an event in Looker Studio (Google Data Studio) triggers actions in Scale (or vice versa).
Absolutely. You can customize how Looker Studio (Google Data Studio) data is recorded in Scale. This includes choosing which data fields go into which fields of Scale, setting up custom formats, and filtering out unwanted information.
The data sync between Looker Studio (Google Data Studio) and Scale typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Looker Studio (Google Data Studio) and Scale. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Looker is a powerful business intelligence and data analytics platform that helps organizations explore, analyze, and share real-time business insights. It provides a user-friendly interface for creating data-driven reports and dashboards, enabling data teams to collaborate effectively and make informed decisions.
Learn MoreScale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
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