While nearly every task in Databricks can be accomplished from its Web UI, to perform operations of any complexity at scale, you need to interact with this service from a script or an application. In this course, Working with Azure Databricks Programmatically, you’ll learn about the Databricks command-line interface (CLI). First, you’ll explore how we can create and use a personal access token for authentication, and how to construct CLI commands to perform a variety of workspace operations. Then, you’ll explore the use of the Databricks REST API. Finally, you’ll discover the versatility of the dbutils library in order to interact with the Databricks file system from a Python application. Once you complete this course, you’ll have a clear understanding of how interactions with a Databricks service can be automated using the Databricks CLI, the REST API, and the dbutils package.
Author Name: Kishan Iyer
Author Description:
I have a Masters in Computer Science from Columbia University and have worked previously as a developer and DevOps engineer. I now work at Loonycorn which is a studio for high-quality video content. My interests lie in the broad categories of Big Data, ML and Cloud.

Table of Contents

• Course Overview
  2mins
• Accessing Azure Databricks with the CLI
  36mins
• Using the Azure Databricks REST API
  16mins
• Managing an Azure Databricks Workspace with dbutils
  21mins