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Configuring and Managing Workspaces with Databricks Service

by Kishan Iyer

Managing Databricks workspaces and their assets correctly can help your organization get the most out of this big data platform. This course covers the options available to accomplish this while keeping things secure and controlling costs.

What you'll learn

Databricks workspaces serve as the container for all your Databricks assets, and managing them well is critical to ensuring you and your users get the best out of this big data technology. In this course, Configuring and Managing Workspaces with Databricks Service, you'll learn different aspects around workspace management, from user administration and security to cost analysis. First, you'll discover how access to workspaces can be regulated and how users can be granted admin privileges on a workspace. Then, you'll explore tracking and managing the costs associated with Databricks on the Azure cloud. Finally, you'll learn how Databricks assets and features can be secured by looking into the different levels of permissions which can be applied to notebooks as well as the clusters they run on. Once you complete this course, you'll have a big-picture view of how Databricks workspaces can be set up and managed to ensure they are used in an optimal manner, in terms of security as well as costs.

About the author

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.

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