Connect Fellow and Databricks to Build Intelligent Automations

Choose a Trigger

Fellow

When this happens...

Choose an Action

Databricks

Automatically do this!

Enable Integrations or automations with these events of Fellow and Databricks

Enable Integrations or automations with these events of Fellow and Databricks

Actions

List Action Items

List Action Items

Show meeting action items

Mark Action Item Complete

Mark Action Item Complete

Mark or unmark an action item

Archive Action Item

Archive Action Item

Archive an action item

List Meeting Recordings

List Meeting Recordings

Find meeting recordings

Retrieve Recording

Retrieve Recording

Get a meeting recording

List Meeting Notes

List Meeting Notes

Get meeting notes and actions

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Frequently Asked Questions

How do I start an integration between Fellow and Databricks?

To start, connect both your Fellow and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Fellow triggers actions in Databricks (or vice versa).

Can we customize how data from Fellow is recorded in Databricks?

Absolutely. You can customize how Fellow data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Fellow and Databricks?

The data sync between Fellow and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Fellow to Databricks?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Fellow and Databricks?

Yes, you can set conditional logic to control the flow of data between Fellow and Databricks. 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.

Fellow

About Fellow

Tool for teams to create meeting agendas, capture notes, and assign action items.

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Databricks

About Databricks

Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.

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