Modern Data Workflows with Databricks

Course details

Learn how to build modern data workflows in Databricks, from ingesting raw data to transforming, orchestrating, and delivering clean, analytics-ready datasets. This course walks you through the core tools and concepts that data professional need to work confidently in the Databricks platform, including Unity Catalog, Delta Lake, and workflow orchestration. Whether you're just getting started with Databricks or looking to level up your data engineering skills, this course breaks down concepts in a practical, beginner-friendly way and shows hands-on demos and real-world examples.

Learning objectives
Navigate and use Databricks to make data workflows.
Apply modern data workflows to build real end-to-end projects.
List some of the latest AI integrations.

Concepts

Introduction

Course and instructor introduction
What is Databricks

Navigating Databricks

Creating account and UI walkthrough
Managed vs. external tables
SQL Editor vs. notebook
Tables vs. volumes

Working with Data

Accessing your data
Views vs. tables
Building dashboards
Global filters
Sharing dashboards

Semantic Models and AI

What is a semantic model
AI assistants
Building our metric view
Building Genie Spaces with our metric view
AI agents with dashboards

ELT

What is ELT
Extracting data from Google Sheets
Transforming your data
Creating our gold tables

Orchestration, Scheduling, and Automation

Creating a job
Dependency chains
Schedules and triggers
Data refresh strategies
ETL pipelines vs. job

Intelligent Document Processing

What is IDP
Ai Parse Document
Ai Extract
Ai Extract on tables
AI Classify

Final Project

End-to-end project