Connecting Visual Studio Code to Azure Databricks Clusters: A Step-by-Step Guide

Introduction

Visual Studio Code (VS Code) is one of the most popular code editors used by developers, and for good reasons: it’s fast, lightweight, and filled with an extensive range of extensions. Now, imagine combining that power with Azure Databricks, the cloud-based platform for big data analytics and machine learning. Magic happens!

In this guide, we’ll walk you through the steps of connecting VS Code to an Azure Databricks cluster, so you can leverage the best of both worlds. We’ll dive into the setup, share some tips, and of course, sprinkle some code snippets along the way to keep things interesting.

Buckle up; it’s about to get cloud-savvy and code-fun!

Prerequisites

Before you jump into this magical journey, you’ll need:

• An Azure subscription with an active Databricks workspace and cluster.
• Databricks CLI installed and configured.
• Visual Studio Code installed (latest version is recommended).
• Python environment installed on your local machine (because why not, Python is awesome).
• A stable internet connection (obviously…).