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:

1. From the DuploCloud Portal, navigate to Cloud Services -> AI-ML.

2. Select the Databricks tab, and click Add. The Add Databricks pane displays.

   

   The Add Databricks pane
3. 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.

1. Click Submit. The Databricks instance will be provisioned.

The Databricks tab in the DuploCloud Portal

Managing an Azure Databricks Instance

After creating a Databricks instance, you can access additional management options:

1. From the DuploCloud Portal, navigate to Cloud Services -> AI-ML.

2. Select the Databricks tab.

3. In the row corresponding to your Databricks instance, click the menu icon ().

4. 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

The menu on the Databricks instance tab in the DuploCloud Portal