Data Management and Governance with Unity Catalog

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.

Note: This is the fourth course in the 'Data Engineering with Databricks' series.

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

Skill Level

Associate

Duration

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.

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Upcoming Public Classes

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Note: This is the fourth course in the 'Generative AI Engineering with Databricks’ series.

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From there, you will gain practical skills to efficiently ingest data from cloud object storage using Lakeflow Connect Standard Connectors with methods such as CREATE TABLE AS (CTAS), COPY INTO, and Auto Loader, along with the benefits and considerations of each approach. You will then learn how to append metadata columns to your bronze level tables during ingestion into the Databricks data intelligence platform. This is followed by working with the rescued data column, which handles records that don’t match the schema of your bronze table, including strategies for managing this rescued data.

The course also introduces techniques for ingesting and flattening semi-structured JSON data, as well as enterprise-grade data ingestion using Lakeflow Connect Managed Connectors.

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