MK
Reviewed Aug 6, 2024
Great course, detailed steps by step walkthrough that really simplifies understanding
A little bit too much product placement. I liked the theoretical parts although VERY MUCH!
Spark, Hadoop, and Snowflake for Data Engineering
e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programmingGain the skills for building efficient and scalable data pipelines. Explore essential data engineering platforms (Hadoop, Spark, and Snowflake) as well as learn how to optimize and manage them. Delve into Databricks, a powerful platform for executing data analytics and machine learning tasks, while honing your Python data science skills with PySpark. Finally, discover the key concepts of MLflow, an open-source platform for managing the end-to-end machine learning lifecycle, and learn how to integrate it with Databricks. This course is designed for learners who want to pursue or advance their career in data science or data engineering, or for software developers or engineers who want to grow their data management skill set. In addition to the technologies you will learn, you will also gain methodologies to help you hone your project management and workflow skills for data engineering, including applying Kaizen, DevOps, and Data Ops methodologies and best practices. With quizzes to test your knowledge throughout, this comprehensive course will help guide your learning journey to become a proficient data engineer, ready to tackle the challenges of today's data-driven world.
Status: Python Programming
Status: Data Architecture
AdvancedCourse30 hours
Featured reviews
VD
Reviewed Jan 15, 2024
A course that cover all aspects basic of data engineer, i love it
All reviews
Showing: 20 of 24
All Learners
All Stars
Most Helpful
Lilian
3.0
Reviewed Apr 11, 2024Nela
4.0
Reviewed Jan 12, 2024A nice introduction to big data platforms and their capabilities. Particularly interesting and useful were MLflow in Databricks and Github Codespaces. This course works best as an overview of the big data platforms and related organisational principles (DevOps, DataOps, MLOps), although there are some demonstrations of coding and the provided programming exercises were helpful, if a bit elementary. The videos in Week 4 were super interesting but too long, so some of them could benefit from being edited down to the essentials. Also the quizzes are quite easy so it would be nice to have some assessed programming content.
Gerardo
3.0
Reviewed Feb 21, 2024Very basic without real applications that would prepare you for a job.
FRANCISCO
2.0
Reviewed Apr 1, 2025The problem with this course is its lack of balance. The first 3 modules are pretty straightforward, with videos' time lapse ranging from 3 to 10 minutes. Then something weird happens with the last module (which is a course in itself!) and we have lessons ranging from 48 minutes up to 2 hours (this last one is optional, I admit it). And some of the presentations are blatantly lame; for example, the instructor trying to find out why some code is not working as it should (!?) All being said, there isn't enough practice nor labs in this course to efectively learn hands-on the very subjects stated in the title ---I could be wrong, but I don't think this should be anyone's top choice to learn these things.
Othmani
1.0
Reviewed Jan 24, 2024The content is not detailed enough to introduce properly the subjects, The labs are not well commented.
Gaurav
3.0
Reviewed Aug 16, 2024not so many exercises. too easy questions
Ricardo
1.0
Reviewed Mar 11, 2024Just one big advertisement for Databricks and Azure
Fareed
1.0
Reviewed Sep 18, 2024Certificate is not clear
Rick
3.0
Reviewed Jan 24, 2024Low video quality and not challenging enough.
Mike
5.0
Reviewed Aug 7, 2024Great course, detailed steps by step walkthrough that really simplifies understanding
Valentin
5.0
Reviewed Jan 16, 2024A course that cover all aspects basic of data engineer, i love it
Joseph
5.0
Reviewed Mar 2, 2026A very interactive hands-on course.
Daniel
5.0
Reviewed Jul 7, 2024Many importants subjects
Hovhannes
5.0
Reviewed Apr 17, 2024it was amazing !!!!
Yimmi
5.0
Reviewed Jun 17, 2024Excelente Curso
David
5.0
Reviewed Sep 9, 2025Simply Great!
CG
5.0
Reviewed Sep 14, 2024Excelente
Victor
5.0
Reviewed Jan 29, 2024Thanks
Gianluca
4.0
Reviewed Nov 8, 2025The course is excellent, well structured, clear, and engaging. The final week is quite technical but also very interesting. I would just note that the first three weeks took me significantly less time than suggested in the course preview. This is mainly because the practice assignments are very short (only one or two questions each) yet have an estimated completion time of around 30 minutes. In addition, some of the questions refer to concepts that are only explained in later lessons. Aside from these minor points, the course is truly outstanding and would be perfect with a small adjustment to the practice exercises.
Amir
3.0
Reviewed Jul 21, 2025Finished the course with a slight disappointment. At times poor video quality and dull explanations.