Running Jobs on Managed Apache Spark Reviews

Alen R. · Reviewed בערך 3 שנים ago

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Puja G. · Reviewed בערך 3 שנים ago

Massipssa K. · Reviewed בערך 3 שנים ago

태현 김. · Reviewed בערך 3 שנים ago

Nikhil D. · Reviewed בערך 3 שנים ago

genta w. · Reviewed בערך 3 שנים ago

庸介 若. · Reviewed בערך 3 שנים ago

恩徐 李. · Reviewed בערך 3 שנים ago

Carlos Alejandro F. · Reviewed בערך 3 שנים ago

Amrit T. · Reviewed בערך 3 שנים ago

Ather K. · Reviewed בערך 3 שנים ago

Heremar M. · Reviewed בערך 3 שנים ago

Raul Eduardo V. · Reviewed בערך 3 שנים ago

Archana M. · Reviewed בערך 3 שנים ago

Namani B. · Reviewed בערך 3 שנים ago

Rizwaan D. · Reviewed בערך 3 שנים ago

Shiva C. · Reviewed בערך 3 שנים ago

Bogdan M. · Reviewed בערך 3 שנים ago

Alessandro S. · Reviewed בערך 3 שנים ago

CHETAN G. · Reviewed בערך 3 שנים ago

Sarita S. · Reviewed בערך 3 שנים ago

Jagadish P. · Reviewed בערך 3 שנים ago

Hoang T. · Reviewed בערך 3 שנים ago

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 The instructions for navigating to Dataproc (and other services in other labs) in the Google Cloud Console seem out of date, as the Analytics section currently requires opening the "More Products" section of the menu, and it's been more intuitive to just search for the services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