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 300+ Processors in Fire Insights
Technical details of Fire Insights 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.
Benefits of Sparkflows on Databricks
Find quick value with Sparkflows and Databricks
Enable Business Analysts
Enable Business Analysts to find quick value with Databricks clusters.
Self Serve Advanced Analytics
Enable users to do analytics and Machine Learning in minutes.
Return on Investment (ROI)
Enable 10x more users on Databricks.
10x More Users
Makes it easy to build, maintain and execute
No code and low code platform
Solve your data science use cases 10x faster.
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.
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Execute Workflows on Databricks
In Fire Insights, you can execute the workflows on Databricks and view the results of execution.
Build Analytical Apps
Build and execute Analytical Apps on Databricks and get results displayed back into Fire Insights.
