perfect

great

good

best

No sé si alienta o desalienta el acceso a AWS en este curso. Hay momentos que parece que la barrera de entrada (por conocimientos) es muy alta, porque si bien sollo hay que seguir instrucciones (realmente no piensas nada)... todo se ve como muy complicado y me llegué a preguntar si estaba en el lugar correcto. El curso como introducción es bueno, pero cada palabra que dicen tiene mucho significado, esto es, condensan demasiado la información, entonces por momentos también esto me hizo sentir abrumada.

Very good overview of the data engineering life cycle with many different use cases. I learned a lot. My only complaints were that the interface for labs and assignments could be a little bit buggy; also, the assignments focused more on the user's knowledge Python syntax rather than testing data engineering concepts learned. That said, the course was still worthwhile.

its a good course giving you a high level understanding of data engineering field. Last week's lab exercise could have been more description. some of the parts were not explained in detailed. hoping there would be more explaining in the next courses

High level overview is great! But I wish the lab should involve hands-on application, and not just following instructions

Very well prepared course. It could be a bit more technical for people with more Computer Science background.

Easy to follow and lots of good information. Not too technical, but it is the intro :)

Labs are too easy, no code written in the scripts

Content and the topics are managed very well

Technical problems were not time-consuming.

Too much theory, only 3 labs

IT IS GOOD

This is a good overview, but I found the lab in the week 4 quite unhelpful. In my view, it would be a much better learning experience if we initially build these pipelines from scratch without the abstraction of a tool like terraform. This is the philosophy you follow in your deep learning specialization which in my view is very effective. Its important to have a clear understanding of each component in the pipeline (ec2, s3,rds, vector db, lambda) individually before abstracting it with terraform. As it stands, I executed a bunch of scripts, initially got a bunch of errors which I really did not understand because I do not as yet have a good understanding of what is happening under the hood. Again, my main recommendation is have us build a pipeline from scratch without terraform.

As someone already in the field of data, this course was pretty easy, but I could see it being pretty difficult for newcomers to understand all of the material. I would have preferred more focus on the labs, and think they should have started with basic data pipelines instead of complicated Terraform/AWS pipelines right off the back. It would have been cool to implement a data pipeline that's usable for a small project without so much reliance on AWS.

The Lab of week 4 is something confusing

Worst Practial Labs so far. Doesnt work properly and fails often.

The instructor skipped some instructions. There was also mis-spelling. I will not be completing this certificate through Coursera.

Disappointed.