Automate Data Pipelines: Schema Evolution is an intermediate course designed for data engineers, analysts, and developers looking to build robust, failure-resistant data workflows. In today's dynamic data landscape, pipelines often break when source data structures change unexpectedly—a problem known as schema drift. This course tackles that challenge head-on, teaching you how to design and automate data pipelines that can gracefully handle schema evolution using Apache Airflow.
Automate Data Pipelines: Schema Evolution
Enjoy unlimited growth with a year of Coursera Plus for $199 (regularly $399). Save now.
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Build automated data pipelines with Apache Airflow, manage schema evolution to prevent failures, and implement monitoring for data integrity.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
December 2025
Taught in English
See how employees at top companies are mastering in-demand skills
There are 3 modules in this course
This module provides a deep dive into the world of workflow automation with Apache Airflow. You will move from understanding the core concepts of DAGs and operators to building a complete, scheduled data pipeline in a hands-on lab. The focus is on creating robust, idempotent workflows that form the backbone of reliable data systems.
What's included
1 video2 readings2 assignments
Data sources are not static. This module addresses the critical skill of managing schema evolution. You will learn how to analyze the downstream impact of source data changes and use dbt to adapt your data quality tests, ensuring your pipelines remain robust and trustworthy even as data structures evolve.
What's included
2 videos2 readings2 assignments
This module extends beyond building pipelines to tackle "silent failures"—where a successful run produces bad data—and establishes observability as the core defense. You will instrument Airflow DAGs to emit key health metrics like freshness, volume, and duration, and configure automated alerts using on_failure_callback. By the end, you will construct resilient pipelines that fail loudly, ensuring data integrity and stakeholder trust.
What's included
2 videos1 reading3 assignments
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
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.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.