Running Jobs on Managed Apache Spark Reviews

Alen R. · Reviewed около 3 лет ago

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Puja G. · Reviewed около 3 лет ago

Massipssa K. · Reviewed около 3 лет ago

태현 김. · Reviewed около 3 лет ago

Nikhil D. · Reviewed около 3 лет ago

genta w. · Reviewed около 3 лет ago

庸介 若. · Reviewed около 3 лет ago

恩徐 李. · Reviewed около 3 лет ago

Carlos Alejandro F. · Reviewed около 3 лет ago

Amrit T. · Reviewed около 3 лет ago

Ather K. · Reviewed около 3 лет ago

Heremar M. · Reviewed около 3 лет ago

Raul Eduardo V. · Reviewed около 3 лет ago

Archana M. · Reviewed около 3 лет ago

Namani B. · Reviewed около 3 лет ago

Rizwaan D. · Reviewed около 3 лет ago

Shiva C. · Reviewed около 3 лет ago

Bogdan M. · Reviewed около 3 лет ago

Alessandro S. · Reviewed около 3 лет ago

CHETAN G. · Reviewed около 3 лет ago

Sarita S. · Reviewed около 3 лет ago

Jagadish P. · Reviewed около 3 лет ago

Hoang T. · Reviewed около 3 лет ago

Luis B. · Reviewed около 3 лет 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 The instructions for navigating to Dataproc (and other services in other labs) in the Google Cloud Console seem out of date, as the Analytics section currently requires opening the "More Products" section of the menu, and it's been more intuitive to just search for the services each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 около 3 лет ago