Running Apache Spark jobs on Cloud Dataproc Reviews

Massipssa K. · Reviewed over 2 years ago

태현 김. · Reviewed over 2 years ago

Nikhil D. · Reviewed over 2 years ago

genta w. · Reviewed over 2 years ago

庸介 若. · Reviewed over 2 years ago

恩徐 李. · Reviewed over 2 years ago

Carlos Alejandro F. · Reviewed over 2 years ago

Amrit T. · Reviewed over 2 years ago

Ather K. · Reviewed over 2 years ago

Heremar M. · Reviewed over 2 years ago

Raul Eduardo V. · Reviewed over 2 years ago

Archana M. · Reviewed over 2 years ago

Namani B. · Reviewed over 2 years ago

Rizwaan D. · Reviewed over 2 years ago

Shiva C. · Reviewed over 2 years ago

Bogdan M. · Reviewed over 2 years ago

Alessandro S. · Reviewed over 2 years ago

CHETAN G. · Reviewed over 2 years ago

Sarita S. · Reviewed over 2 years ago

Jagadish P. · Reviewed over 2 years ago

Hoang T. · Reviewed over 2 years ago

Luis B. · Reviewed over 2 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 The instructions for navigating to Dataproc (and other services in other labs) in the Google Cloud Console seem out of date, as the Analytics section currently requires opening the "More Products" section of the menu, and it's been more intuitive to just search for the services each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 over 2 years ago

Kavitha Raji S. · Reviewed over 2 years ago

Mahendra V. · Reviewed over 2 years ago