Running Jobs on Managed Apache Spark Reviews
46093 reviews
Massipssa K. · Reviewed almost 3 years ago
태현 김. · Reviewed almost 3 years ago
Nikhil D. · Reviewed almost 3 years ago
genta w. · Reviewed almost 3 years ago
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恩徐 李. · Reviewed almost 3 years ago
Carlos Alejandro F. · Reviewed almost 3 years ago
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Raul Eduardo V. · Reviewed almost 3 years ago
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Jagadish P. · Reviewed almost 3 years ago
Hoang T. · Reviewed almost 3 years ago
Luis B. · Reviewed almost 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 The instructions for navigating to Dataproc (and other services in other labs) in the Google Cloud Console seem out of date, as the Analytics section currently requires opening the "More Products" section of the menu, and it's been more intuitive to just search for the services each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 almost 3 years ago
Kavitha Raji S. · Reviewed almost 3 years ago
Mahendra V. · Reviewed almost 3 years ago
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