Data Governance at Scale

In this course, you will learn how to implement data governance at scale on Databricks using Unity Catalog, with a focus on attribute-based access control, observability, and federated sharing. You will configure ABAC with governed tags, migrate from legacy fine-grained controls, enable and use system tables for audit and cost monitoring, deploy Lakehouse Monitoring for data and model quality, interpret lineage for impact and compliance, and apply federated governance and Delta Sharing patterns for secure cross-cloud collaboration.

Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures. You can access the lecture notebooks in the Vocareum lab environment.

Skill Level

Associate

Duration

Prerequisites

Complete the following course before taking this course:

• Databricks Fundamentals (or equivalent introductory Databricks course)

In this course, the content was developed for participants with these skills/knowledge/abilities:

• Familiarity with the Databricks platform and basic workspace operations (creating and attaching clusters, running notebooks, managing basic job runs).

• Working knowledge of core data governance concepts such as access control, permissions, and security policies in a data platform.

• Intermediate SQL experience, including creating and managing tables, views, and functions, and granting/revoking privileges on database objects.

• Understanding of Unity Catalog’s basic object model (metastore, catalogs, schemas, tables, volumes, functions, models).

• Basic understanding of data lineage and how data moves between sources, transformations, and downstream analytics or ML assets.

• Familiarity with fine-grained security techniques like row-level filters and column masking, even if not yet implemented in Unity Catalog.

• Beginner-level knowledge of cloud concepts (compute, storage, identities/groups) on at least one major cloud provider.

• Basic awareness of metadata management and data discovery practices in modern data platforms.

Upcoming Public Classes

Date	Time	Language	Price
Date	Time	Language	Price	Feb 27	10 AM - 02 PM (America/New_York)	English	$750.00

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Languages Available: English | 日本語 | Português BR | 한국어