Good introduction and overview of the field of data engineering, data lakes and modern data warehouses and a hands-on walkthrough of all the technologies related to solving these problems on GCP.
A better understanding of BigQuery starts here. A vital resource for consultants, data analysts, and product managers, and an important reference source for engineers and data scientists.
por Bhushan V W•
por Arnaud C•
por Edson A•
por Paramjeet S•
por SAJID M W•
por Marcos F N•
I expected this course to contain a more practical data lake architecture sample using either Cloud SQL or Cloud Storage, however what we get is only a simpler demonstration of how to use those services. So, for those less familiarized with the concept, it's probably not as straightforward to learn it as it could be.
por Ogbeide N•
Really Great , but it would have been better if we had exercises at the end on real world situation. Like creating a data ware house for a particular analysis based from raw data
por ehsanul h•
the course tried to cover too much in-depth technical info in too little time/slides. sometimes there is disconnect in flow when moving form one topic to another
por Savas C•
Trainers are like reading 5x. They forgot that they are giving training especially Week2. I have checked many time playback rate if it is 2x 3 x
por Elizabeth S•
Better depth of content, however, week 2 last lab should have more time. Also, partitioning and clustering needs a more intuitive explanation.
por Srinivasan D•
The labs sometimes take a long time to load, and require me to restart my browser even though I am browsing Coursera in incognito mode.
por Vishnuvahan S•
Would have benefited students more if they could write some of their own queries for a given problem within the time limit of the labs
por Damien B•
A lab was not working because the gs address was not correct. Dnd the quality of the videos at the end was deteriorating.
I wish it was more exhaustive, some of the sections referred to labs and content not included in the course.
por Léo Z•
Good overview of the subject but limited and easy practical exercises.
por Conor C•
detailed. learned a significant amount on how GCP handles data.
por Omar M•
I didn't really like the woman instructor. She talk too fast...
por Christopher S•
a lot of words for not that much of information
por Rafal K•
I liked end but begging was not so good
por Ismi Y•
Many repeated contents.
por Morgan S•
The course is not engaging. I watched "big-picture" videos. I don't need to discuss the theory of GCP. I enrolled in the course to get my hands dirty. The labs are not exercises; they are recipes to be blindly followed. I suspect my retention to be limited due to the course. The pro - GCP is a great tool!
por Radha M K V•
Very poor introduction to data warehouses. Real world implementations does not work this way. Even if they wanted to promote GCS as sole warehouse mechanism, not enough details on how to get that done. Also the concepts are though in a bit adhoc fashion. Big query handson was good and worth it
por Adam S•
Lectures are much too fast. Lecturers are talking very indistinctly and subtitles are incorrect in those places. Additionally majority videos are just recording of someone talking without any visual helps - slides are not very useful. I gave 2 stars, because some labs were pretty cool to do.
por Nami K•
Limited timing on labs stresses you out and doesn't let you discover enough about various functionalities. Some links are outdated ( data engineering course folder under Evan Jones' Github does not exist on Github but shown in his video)
por Lucy P•
Week 1 was great, however, the videos for week 2 were really hard to follow. It could be because of the way it was read off of the prompter. I really struggled staying focus.