This hands-on course equips learners with the skills to design, build, and manage end-to-end ETL (Extract, Transform, Load) workflows using Apache Spark in a real-world data engineering context. Structured into two comprehensive modules, the course begins with foundational setup, guiding learners through the installation of essential components such as PySpark, Hadoop, and MySQL. Participants will learn how to configure their environment, organize project structures, and explore source datasets effectively.
Apache Spark: Design & Execute ETL Pipelines Hands-On
Discover new skills with $120 off courses from industry experts. Save now.
Apache Spark: Design & Execute ETL Pipelines Hands-On
This course is part of Spark and Python for Big Data with PySpark Specialization
Instructor: EDUCBA
Included with 
Gain insight into a topic and learn the fundamentals.
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Install and configure PySpark, Hadoop, and MySQL for ETL workflows.
Build Spark applications for full and incremental data loads via JDBC.
Apply transformations, handle deployment issues, and optimize ETL pipelines.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
August 2025
Assessments
6 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Spark and Python for Big Data with PySpark Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
This module introduces learners to the fundamentals of building an ETL framework using Apache Spark. It begins by providing an overview of the Spark ecosystem and its advantages in big data processing. Learners will be guided through the installation and configuration of essential software packages, setting up the development environment, and understanding the structure of a Spark-based ETL project. The module also covers how to work with real-world datasets and prepare configuration files for database interactions—laying a strong groundwork for scalable data processing workflows.
What's included
5 videos3 assignments
This module guides learners through the practical implementation of Extract, Transform, and Load (ETL) processes using Apache Spark. Learners will explore full data loads into MySQL, apply transformation logic using Spark SQL, and handle incremental loading scenarios by tracking and managing new records. The lessons include error handling, filtering strategies, data type compatibility, and database integration using JDBC—all within a hands-on PySpark environment. This module reinforces applied knowledge of Spark for real-world data engineering tasks.
What's included
6 videos3 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Explore more from Data Analysis
Status: Free TrialCoursera Instructor Network
Status: Free TrialCoursera Instructor Network
Status: Free Trial
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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
More questions
Financial aid available,