Connect Databricks and Harvest to Build Intelligent Automations

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Databricks

When this happens...

Choose an Action

Harvest

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Client Created

New Client Created

Trigger when new client is created

New User

New User

Trigger when user is created

New Contact

New Contact

Trigger when new contact is created

New Project

New Project

Trigger when new project is created

New Time entry

New Time entry

Trigger when new time entry is created

List Invoice Sent

List Invoice Sent

List Invoice Sent

Do thisActions

Action is the task that follows automatically within your Databricks integrations.

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

Create a Client

Create a Client

Creates a new client

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Frequently Asked Questions

How do I start an integration between Databricks and Harvest?

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

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

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

How often does the data sync between Databricks and Harvest?

The data sync between Databricks and Harvest 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 Databricks to Harvest?

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 Databricks and Harvest?

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

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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Harvest

About Harvest

Harvest is a time-tracking and invoicing application that simplifies the process of tracking time for various tasks and projects. It helps organizations and freelancers easily bill clients and better manage their time spent on tasks.

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