Azure Databricks Data Access Management

Summary

Securely access cloud storage and configure data access control with Azure Databricks.

Description

In this course, you will learn about the Databricks File System and Hive Metastore concepts. Then, you will apply best practices to secure access to Azure data storage from Azure Databricks. Next, you will configure access control for data objects including tables, databases, views, and functions. You will also apply column and row-level permissions and data masking with dynamic views for multiple users and groups. Lastly, you will identify methods for data isolation within your organization on Azure Databricks.

Learning objectives

  • Describe the Databricks File System and Hive Metastore concepts.

  • Apply best practices to secure access to Azure data storage from Azure Databricks.

  • Configure access control for data objects including tables, databases, views, and functions.

  • Apply column and row-level permissions and data masking with dynamic views for multiple users and groups.

  • Identify methods for data isolation within your organization on Azure Databricks.

Prerequisites

  • Beginning experience with Azure Databricks security, including deployment architecture and encryptions

  • Beginning experience with Azure Databricks administration, including identity management and workspace access control

  • Beginning experience using the Azure Databricks workspace

  • Azure Databricks Premium Plan

Learning path

  • This course is part of the Platform Administrator learning path.

Proof of completion

  • Upon 80% completion of this course, you will receive a proof of completion.