Introduction

In this article, we are going to explore the origin of the lakehouse platform and the challenges with data lake implementation. Then, we will explore Azure Databricks Platform components and their use cases.

Azure Databricks

Features

Databricks workspace UI

Challenges with Data Lake Implementation

Azure Databricks Platform Components

Azure Databricks is a data & ai, software as a service open-source collaborative tool. It basically provides three different types of environments :

There are multiple ways to create databricks in Azure.

Azure Portal

Powershell

New-AzDatabricksWorkspace -Name {databricksname}-ResourceGroupName {resourcegroupname} -Location {region} -ManagedResourceGroupName {createneworexisting}
Here, {databricksname} = Databricks Workspace Name
{resourcegroupname} = Azure Resource Group Name
{region} = Azure Region Name
{createneworexisting}= Specify if you want to create a new managed resource group or create exiting one

ARM Template

Azure VNET

You can create Azure Databricks in a Custom bubble network or existing custom VNET,

Azure Databricks Use Cases

Conclusion

In this article, we explored the fundamentals of the Azure Databricks Lakehouse platform which can be used to create data and AI solutions.