The course was generally comprehensive on an introductory level for the data engineering stack in Snowflake. However, I struggled with the terminology for "modern" data engineering. Modern seems to be synonymous with the Snowflake stack in this context. However, modern could be referred to, more generally, industry-wide objectives (like Gen AI application development and real-time streaming applications). I think it could be helpful to talk about common data engineering workflows and further distinguish Snowflake's superiority. Moreover, many of the questions in the quizzes were very similar, if not simpler, than Snow Pro Core. It would be great to have a bit more coverage on product areas like Dynamic tables. i.e. transparent orchestration, operationally friendly as they are fully observable/manageable in snowsight, easy switching from batch to streaming etc. I thought the course teacher did a great job with covering the essentials and very clearly, comprehensively, and simply describing each feature. 5 stars for the teacher.

Valuable, well-presented Snowflake knowledge that should be part of every employee's internal required training courses. A person walks away with sound all-around knowledge of data pipelines and industry practices. Not only are you shown how to use the common supporting tools, but your workstation is setup and ready so that you can be effective in your development as soon as you finish the course. Love Snowflake Notebooks and how easy and useful Dynamic Tables are!

This course covers all aspects of data engineering with Snowflake, presented in a well-structured and easy to follow format to get the student started with data engineering in Snowflake. It provides sample code and exercises, as well as links to resources where the student can find more detailed information.

Great Course to get to know the SnowFlake Data Engineering Ecosystem hands on. Well organized and presented course from Snowflake

Course is very well structured and explained!

Pretty practical and easy to follow.

Excellent introductory course!

Thanks. Very Helpful.

Excellent quality!

Excellent

Nice one

good

Good course. My main concerns are: - Anything that happens on the student's laptop can go wrong. So relying heavily on VS Code and Snowflake CLI is interesting but risky. - Streamlit and Snowflake Native Apps seem to be out of scope of modern data engineering. Snowflake should consider to deep dive more into data engineering features only.

It gives a overall idea of how to build data engineering at a very short period of time.

Very useful

Good Course but applying in real project is not easy as customer are not using Snow DE features as this more coding proces to build the pipeline