Running Jobs on Managed Apache Spark Reviews

Alen R. · Reviewed about 3 years ago

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Puja G. · Reviewed about 3 years ago

Massipssa K. · Reviewed about 3 years ago

태현 김. · Reviewed about 3 years ago

Nikhil D. · Reviewed about 3 years ago

genta w. · Reviewed about 3 years ago

庸介 若. · Reviewed about 3 years ago

恩徐 李. · Reviewed about 3 years ago

Carlos Alejandro F. · Reviewed about 3 years ago

Amrit T. · Reviewed about 3 years ago

Ather K. · Reviewed about 3 years ago

Heremar M. · Reviewed about 3 years ago

Raul Eduardo V. · Reviewed about 3 years ago

Archana M. · Reviewed about 3 years ago

Namani B. · Reviewed about 3 years ago

Rizwaan D. · Reviewed about 3 years ago

Shiva C. · Reviewed about 3 years ago

Bogdan M. · Reviewed about 3 years ago

Alessandro S. · Reviewed about 3 years ago

CHETAN G. · Reviewed about 3 years ago

Sarita S. · Reviewed about 3 years ago

Jagadish P. · Reviewed about 3 years ago

Hoang T. · Reviewed about 3 years ago

Luis B. · Reviewed about 3 years ago

Pretty decent lab overall, I feel like I gained some familiarity with the tools and services in question. I could say about all the labs I've taken so far: I would have liked more interactivity (especially with the code/jupyter section--of this particular lab at least), or some questions throughout the lab that demand some thinking on the part of the student. "What approach should we take to achieve X goal?" rather than "Here is how we will achieve X goal." (And then the desired approach can be emphasized after the question, or once the student has answered the question). There's a bit of ambiguity in some of the instructions. In the IAM section toward the beginning of the lab, I did not see an "Add" button to create a new user. The instructions for navigating to Dataproc (and other services in other labs) in the Google Cloud Console seem out of date, as the Analytics section currently requires opening the "More Products" section of the menu, and it's been more intuitive to just search for the services each lab requires, rather than looking for them in the menu. Also, probably most people taking this course know how to "navigate to a storage bucket", but this might as well include something like "open Google Storage, click 'buckets', then open the bucket named after the project number".

Nicholas C. · Reviewed about 3 years ago