Platform Administrator

DATB-GSDG : Get Started with Data Governance on Databricks

Course Duration

3 Hours

Delivery

ILT

Overview

Overview Course Curriculum Training Schedule Exam & Certification FAQs

In this course, you will explore Unity Catalog and fine-grained access controls on Databricks with hands-on demos and a capstone lab. You will learn about table types, catalog and schema configuration, group-based access management, and access control migration strategies. The course includes demos on applying Fine-Grained Access Controls with Row Level Security and Column Masking, Attribute based access control, combining controls, migrating controls, and a lab for comprehensive governance implementation.

What You'll Learn

Core Concepts and Architecture
Unity Catalog Permission Model
Navigate and Access Data Catalogs
Search, Tagging, and Data Lineage
Fine-Grained Access Control

Who Should Attend

Data engineers, data platform administrators and governance practitioners implementing or supporting data-governance frameworks on the Databricks Lakehouse.
Professionals managing access controls, catalogs, schemas, tables and volumes using Unity Catalog.
Individuals applying fine-grained governance policies such as row-level filtering, column masking and permission assignments.
Practitioners with SQL, basic Python/PySpark and cloud data-platform experience who want to build foundational governance skills on Databricks.
Teams transitioning from ad hoc data-access practices to structured, scalable and compliant governance workflows.

Prerequisites

Complete the following course before taking up this course:

Databricks Fundamentals

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

A basic understanding of cloud computing concepts (virtual machines, object storage, etc.)
Intermediate experience with SQL (commands, aggregate functions, filters, sorting, tables, views)
Familiarity with Python programming and the Jupyter notebook interface
Basic knowledge of PySpark fundamentals (for hands-on exercises)
Completion of a foundational Databricks course (such as Fundamentals of the Databricks Data Intelligence Platform) is beneficial but not mandatory

Learning Journey

Coming Soon...

Module 1. Core Concepts and Architecture

Unity Catalog Fundamentals
Centralized Governance and Visibility in Unity Catalog

Module 2. Unity Catalog Permission Model

Privileges in Unity Catalog
Databricks Roles

Module 3. Navigate and Access Data Catalogs

Exploring and Managing Data and AI Assets in Databricks
Unity Catalog Essentials and Asset Discovery

Module 4. Search, Tagging, and Data Lineage

Data Organization and Lineage Analysis
Visualizing Lineage in Catalog Explorer

Module 5. Fine-Grained Access Control

Unity Catalog Privilege Model and Governance Approaches
Implementing Fine-Grained Access Controls
Applying Fine-Grained Policies
Unified Data Governance on Databricks

Frequently Asked Questions (FAQs)

None

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