Databricks
Configuring Azure Databricks in DuploCloud
Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud. It provides a collaborative environment for data engineers, data scientists, and analysts to work with big data and AI/ML workloads. Databricks connects easily with Azure services, making data work, machine learning, and analytics simpler. Azure Databricks can be provisioned and managed directly through the DuploCloud platform.
Adding an Azure Databricks Instance
Complete the following steps to Add an Azure Databricks instance:
From the DuploCloud Portal, navigate to Cloud Services -> AI-ML.
Select the Databricks tab, and click Add. The Add Databricks pane displays.
The Add Databricks pane Fill in the fields:
Name
Enter a Databricks workspace name.
Tier
Choose between Standard or Premium. View Pricing details here.
Disable Public IP
If set to Disabled, no user access is permitted from the public internet.
If you set this to Enabled, users and REST API clients on the public internet can access Azure Databricks
Vnet Integration
Choosing Enabled allows you to deploy an Azure Databricks workspace in your virtual network. If enabled, you'll need to provide your Private Subnet and Public Subnet.
Click Submit. The Databricks instance will be provisioned.
Managing an Azure Databricks Instance
After creating a Databricks instance, you can access additional management options:
From the DuploCloud Portal, navigate to Cloud Services -> AI-ML.
Select the Databricks tab.
In the row corresponding to your Databricks instance, click the menu icon (
).Select from the following options:
Copy
Copy relevant details of the Databricks instance
Azure Portal
Open the Databricks instance in the Azure Portal
Launch Workspace
Access the Databricks workspace directly
Delete
Delete the Databricks instance from DuploCloud
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