Connect Affinda and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
Document Validation Completed
Document Rejected
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Document Validation Completed
Triggers when a document get validated
Document Rejected
When a document get rejected
Do thisActions
Action is the task that follows automatically within your Affinda integrations.
Upload a Document for Parsing
Upload a new document for parsing.
Create a Collection
Create a new collection.
Create a Workspace
Creates a new workspace.
Create a New Organization
Creates a new organization.
Update a Workspace
Update an existing workspace.
Update an Organization
Update the detail of an organization.
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Frequently Asked Questions
To start, connect both your Affinda and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Affinda triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Affinda 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.
The data sync between Affinda and Databricks 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 Affinda 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.
About Affinda
Affinda is an AI-powered Document Parsing solution provider for the automation of high-volume document workflow including emails, contracts, invoices, forms, financial statements, and more.
Learn MoreAbout 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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