Learn to build data pipelines on the Databricks Lakehouse Platform — from architecture concepts to hands-on Spark and Delta Lake. This beginner course starts with why the lakehouse pattern replaced separate data warehouses and data lakes, then moves directly into the Databricks workspace where you'll configure compute, write PySpark and SQL queries, and manage data with Unity Catalog's three-level namespace.
Databricks Lakehouse Fundamentals
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Beginner level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Write PySpark and SparkSQL queries using lazy evaluation, the Catalyst optimizer, and broadcast join optimization
Schedule end-to-end data pipelines as multi-task Databricks Jobs with dashboards and alerting
Build and query Delta Lake tables with ACID transactions, schema enforcement, time travel, and MERGE-based incremental ETL
Details to know
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Recently updated!
March 2026
Assessments
4 assignments
Taught in English
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This course is part of the Enterprise AI and Data Engineering with Databricks Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 4 modules in this course
This module introduces the lakehouse paradigm and the Databricks platform. You'll learn about the structure of lakehouse architecture, explore the Databricks workspace and its core tools, and understand how compute and storage work together.
What's included
6 videos7 readings1 assignment
This module covers notebooks and hands-on data manipulation using PySpark. You'll create and organize notebooks, load data from the Catalog, and write PySpark transformations to select, filter, aggregate, and join datasets.
What's included
6 videos4 readings1 assignment
This module introduces Delta Lake, where you'll create Delta tables, perform transactional operations like updates, deletes, and merges, use time travel to query previous versions, and see how Delta Lake connects to governance and automation features.
What's included
6 videos4 readings1 assignment
Build an end-to-end lakehouse data pipeline integrating every concept from the course. Starting from raw data files, you will construct a complete medallion architecture (bronze → silver → gold) with Delta Lake, implement incremental MERGE logic, and orchestrate the pipeline as a scheduled Databricks Job. Six hands-on lab notebooks guide you through the project using the course GitHub repository.
What's included
1 reading1 assignment
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Frequently asked questions
o. The entire course runs on Databricks Free Edition, which gives you full platform access — notebooks, clusters, Delta Lake, Unity Catalog, and Jobs — with zero cloud billing. You can start immediately without a credit card.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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Financial aid available,