Connect Browse AI and Databricks to Build Intelligent Automations

Choose a Trigger

Browse AI

When this happens...

Choose an Action

Databricks

Automatically do this!

Ready to use Browse AI and Databricks automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Tasks

New Tasks

Triggers when a task is finished successfully.

Table Export

Table Export

Triggers when a table export successfully .

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Do thisActions

Action is the task that follows automatically within your Browse AI integrations.

Bulk Run Tasks

Bulk Run Tasks

Bulk runs up to 50,000 tasks using a robot.

Create Cluster

Create Cluster

Creates a new Databricks cluster for processing tasks.

Create a Directory

Create a Directory

Create a directory by a path.

Delete a Job

Delete a Job

This action deletes a job by ID.

Create a Repo

Create a Repo

Creates a repo in the workspace and links it to the remote Git repo specified.

Delete Repo

Delete Repo

Delete a Repo

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Frequently Asked Questions

How do I start an integration between Browse AI and Databricks?

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

Can we customize how data from Browse AI is recorded in Databricks?

Absolutely. You can customize how Browse AI 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 Browse AI and Databricks?

The data sync between Browse AI 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 Browse AI 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 Browse AI and Databricks?

Yes, you can set conditional logic to control the flow of data between Browse AI 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.

Browse AI

About Browse AI

Browse.ai is a powerful tool designed to automate web data extraction and monitoring. It allows users to easily capture and track data from websites without the need for coding, making it ideal for businesses and individuals looking to streamline their data collection processes.

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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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