Save yourself the work of writing custom integrations for Databricks and Wekan and use n8n instead. Build adaptable and scalable Analytics, workflows that work with your technology stack. All within a building experience you will love.
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Databricks and Wekan workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
List clusters
Retrieve a list of all the clusters in your Databricks workspace.
Create cluster
Creates a cluster with the specified Databricks Runtime version and cluster node type.
Delete cluster
Permanently deletes a cluster from your Databricks workspace.
Delete cluster
Permanently deletes the cluster with the specified cluster ID from the workspace.
Create cluster
Creates a new cluster in the Databricks workspace.
Create job
Creates a Databricks job that runs the specified notebook on the specified cluster.
Create directory
Creates an empty folder in a volume.
Upload file
Uploads a file to a volume.
List directory contents
Lists the contents of a volume.
Delete file
Deletes a file from a volume.
Delete directory
Deletes a folder from a volume.
List groups
Lists the display names for all of the available groups within the Databricks account.
To set up Databricks integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Databricks to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Databricks official documentation to get a full list of all API endpoints and verify the scraped ones!
Create
Create a new board
Delete
Delete a board
Get
Get the data of a board
Get Many
Get many user boards
Create
Create a new card
Delete
Delete a card
Get
Get a card
Get Many
Get many cards
Update
Update a card
Create
Create a comment on a card
Delete
Delete a comment from a card
Get
Get a card comment
Get Many
Get many card comments
Create
Create a new checklist
Delete
Delete a checklist
Get
Get the data of a checklist
Get Many
Returns many checklists for the card
Delete
Delete a checklist item
Get
Get a checklist item
Update
Update a checklist item
Create
Create a new list
Delete
Delete a list
Get
Get the data of a list
Get Many
Get many board lists
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