Task 3: Review workspace administration

Estimated time to complete: 40 minutes

In this section, we review information that you’ll find useful as you perform your work as a Databricks administrator. First you’ll learn about the Databricks platform architecture, including what the major components are and how they fit together. Then, we touch on the administration console and how to use it to manage users, groups, IAM roles, and single sign-on. Finally, we review access controls for clusters, jobs, tables, and workspace objects like notebooks and experiments.

Databricks platform architecture

Understanding the Databricks platform architecture can help inform your security and governance strategies, as well as provide insight into how best to work with the platform. This article describes that architecture, including the major components and how they fit together:

Databricks Architecture Overview

Administration console

The administration console is where you administer your Databricks workspace-level configurations, like adding users and groups, managing single sign-on, managing access controls, and purging storage.

To learn more about the administration console, play this video.

Access control

In Databricks you can use access control lists (ACLs) to configure permission to access workspace objects (folders, notebooks, experiments, and models), clusters, pools of ready instances, jobs, and data tables. All admin users can manage access control lists, as can users who have been given delegated permissions to manage them.

Admin users enable and disable access control at the Databricks workspace level.

To learn more about configuring access control, play the video below.

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