What This Tool Does
Real examples of how the connector helps your AI agent take action; like sending messages, updating records, or syncing data across tools.
Real-Time Lookup
Data lake and analytics platform supporting big data processing
Example
"Trigger Databricks job to transform raw customer data nightly"
Memory Recall
Access data pipeline and job run histories.
Example
"Show all failed jobs and runtimes for 'Customer Segments' pipeline in Databricks."
Instant Reaction
Alert data team when a Spark job fails in Databricks workspace.
Example
"Notify engineer if notebook job exits with code 1."
Autonomous Routine
Track notebook execution times, cluster usage, and failure trends.
Example
"Daily log of jobs run, with average runtime and error rates."
Agent-Initiated Action
Restart failed jobs or reallocate cluster resources.
Example
"Restart job with larger worker node size if memory limit breached."
Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
Snowflake
Stream large datasets
Power BI
Visualize ML outputs
Slack
Notify data team on new jobs
Try It with Your Agent
Example Prompt:
"When a new Databricks job completes, export results to Power BI and notify data team in Slack."
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect Databricks in Fastn UCL: Navigate to the Connectors section and select Databricks, then click Connect.
2
Authenticate using your Databricks token or credentials.
3
Enable “run_notebook” and “query_cluster” in the Actions tab.
4
Use the AI Agent to run analytics or ML workflows.
Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.
