Data Engineer

DATB-DMGUC : Data Management and Governance with Unity Catalog

Course Duration

2 Hours

Delivery

ILT/VILT

Overview

Overview Course Curriculum Training Schedule Exam & Certification FAQs

In this Data Governance with Unity Catalog session, you'll learn concepts and perform labs that showcase workflows using Unity Catalog - Databricks’ solution to data governance. We'll start off with a brief introduction to Unity Catalog, discuss fundamental data governance concepts, and then dive into a variety of topics including using Unity Catalog for data access control, managing external storage and tables, data segregation, and more.

What You'll Learn

Learn foundational data governance concepts and workflows using Unity Catalog.
Use Unity Catalog to manage data access control, including fine-grained privileges and security policies.
Manage external storage and tables within Unity Catalog for scalable governance.
Implement data segregation and governance strategies across data assets and workloads.

Who Should Attend

Data engineers, data platform administrators and governance practitioners responsible for defining and enforcing data-management and governance policies using the Unity Catalog on the Databricks Lakehouse Platform.
Professionals managing access controls, external storage, table upgrades and data segregation who want hands-on experience with Unity Catalog workflows.
Individuals with familiarity in SQL, Python or PySpark and basic governance concepts who are ready to deepen their skills in fine-grained data access (row/column-level), metadata management and catalog lineage.
Teams transitioning from legacy siloed data-lakes to a governed, multi-workspace lakehouse architecture and seeking to operationalise governance at scale using Unity Catalog.
Analysts and technical leads responsible for enabling discoverability, auditability and governance of data and AI assets across their organisation’s Databricks environment.

Prerequisites

Familiarity with the Databricks Lakehouse completion (completion of the course Fundamentals of the Databricks Data Intelligence Platform V2)
Basic knowledge of Python programming, jupyter notebook interface, and PySpark fundamentals.
Familiarity with data governance topics
Beginner familiarity with cloud computing concepts (virtual machines, object storage, etc.)
Intermediate experience with basic SQL concepts such as SQL commands, aggregate functions, filters and sorting, indexes, tables, and views.

Learning Journey

Coming Soon...

Data Governance Overview
Demo: Populating the Metastore
Lab: Navigating the Metastore
Organization and Access Patterns
Demo: Upgrading Tables to Unity Catalog
Security and Administration in Unity Catalog
Databricks Marketplace Overview
Privileges in Unity Catalog
Demo: Controlling Access to Data
Fine-grained Access Control
Lab: Securing Data in Unity Catalog
Lakehouse Monitoring
Demo: Lakehouse Monitoring

Frequently Asked Questions (FAQs)

None

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