A 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.

A little bit too much product placement. I liked the theoretical parts although VERY MUCH!

Very basic without real applications that would prepare you for a job.

The content is not detailed enough to introduce properly the subjects, The labs are not well commented.

not so many exercises. too easy questions

The 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.

Just one big advertisement for Databricks and Azure

Certificate is not clear

Low video quality and not challenging enough.

Great course, detailed steps by step walkthrough that really simplifies understanding

A course that cover all aspects basic of data engineer, i love it

Many importants subjects

it was amazing !!!!

Excelente Curso

Simply Great!

Excelente

Thanks

The 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.

Finished the course with a slight disappointment. At times poor video quality and dull explanations.

Delivery of the courses is dull. Poor explanations are given while coding. There is no idea as to how the course is progressing. Disappointed in the invested time

a bit too advanced data engineering. I was looking for Databricks and ETL overview with PySpark and Databricks

outdated content - Snowflake & Databricks