Connect ArcGIS and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for ArcGIS
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Enable Integrations or automations with these events of ArcGIS and Databricks
Enable Integrations or automations with these events of ArcGIS and Databricks
Actions
Get Items
Get the details of all existing items.
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
Delete a Job
This action deletes a job by ID.
Create a Repo
Creates a repo in the workspace and links it to the remote Git repo specified.
Delete Repo
Delete a Repo
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Frequently Asked Questions
To start, connect both your ArcGIS and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in ArcGIS triggers actions in Databricks (or vice versa).
Absolutely. You can customize how ArcGIS 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 ArcGIS 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 ArcGIS 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 ArcGIS
ArcGIS is a comprehensive geographic information system (GIS) for working with maps and geographic information. It is used for creating, managing, sharing, and analyzing spatial data.
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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