Fire Insights Integration with Databricks
Overview
Fire Insights is deeply integrated with Databricks. Perform Data Analytics, Data Exploration, build ML models and Data Engineering in minutes using the 280+ Processors in Fire Insights.
Technical details of Fire Integration with Databricks is available at:
https://docs.sparkflows.io/en/latest/databricks/index.html
In Fire Insights you can
View/Start/Stop your
Databricks Cluster
View your files in Databricks File System (DBFS)
View your Databases and
Tables in Databricks
Build workflows which reads from and writes to tables in Databricks
Execute the workflows on your Databricks clusters and
view the results.
Results include data in
Charts, Tables, Text etc.
Architecture

This diagram shows how Fire Insights talks with Databricks.
Install Fire Insights on a machine and have it start interacting with your Databricks clusters.
View Databricks Clusters
In Fire Insights, you can view your Databricks Clusters, start and stop them.

Read and write Databricks Tables
In Fire Insights, you can create workflows which read from and write to tables in Databricks.

Interact with Databricks File System (DBFS)
In Fire Insights, you can view your files on DBFS.

Execute Workflows on Databricks
In Fire Insights, you can execute the workflows on Databricks and view the results of execution.
