Skip to main content
HomeDatabricks

Course

Introduction to Databricks SQL

Intermediate
Updated 05/2025
Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.
Start Course for Free

Included withPremium or Teams

DatabricksData Engineering3 hours16 videos46 Exercises3,600 XPStatement of Accomplishment

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

Course Description

Every organization has a need for a data warehousing capability to run critical business intelligence analyses. Over the years, there have been many different tools to satisfy these needs, but often were separate technology stacks that struggled to keep up with modern data needs and scale.Databricks is a powerful Data Intelligence Platform that can satisfy many of an organization's analytical needs. By leveraging Databricks SQL, an organization can utilize a hyper scalable and performant data warehouse solution directly in the lakehouse architecture.In this course, you will be introduced to the key components and workflows within Databricks SQL.First, you will learn how to use Databricks SQL to perform different data engineering tasks and moving your data through the medallion architecture to serve data teams. You will earn the common techniques many data engineers use, how to choose between different data storage techniques, and how to keep your data up to date.Next, you will learn how to analyze your data in Databricks SQL like many data analysts do in the industry. You will learn the common functions and techniques using ANSI based SQL, and will then create in-platform visualizations and dashboards to better tell a story about your data.Finally, you will learn some more advanced techniques that leverage the key differentiators of the Databricks platform. You will learn how to handle high-velocity and fast changing data using window functions, and will be able to merge datasets together as they come in.

Prerequisites

Intermediate SQLIntroduction to Databricks
1

Data Warehousing in Databricks

Start Chapter
2

Data engineering with Databricks SQL

Start Chapter
3

Data analysis with Databricks SQL

Start Chapter
4

Advanced patterns with Databricks SQL

Start Chapter
Introduction to Databricks SQL
Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

Included withPremium or Teams

Enroll now

    Join over 16 million learners and start Introduction to Databricks SQL today!

    Create Your Free Account

    or

    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.