Running Apache Spark jobs on Cloud Dataproc Reviews

Massipssa K. · Reviewed أكثر من سنتين ago

태현 김. · Reviewed أكثر من سنتين ago

Nikhil D. · Reviewed أكثر من سنتين ago

genta w. · Reviewed أكثر من سنتين ago

庸介 若. · Reviewed أكثر من سنتين ago

恩徐 李. · Reviewed أكثر من سنتين ago

Carlos Alejandro F. · Reviewed أكثر من سنتين ago

Amrit T. · Reviewed أكثر من سنتين ago

Ather K. · Reviewed أكثر من سنتين ago

Heremar M. · Reviewed أكثر من سنتين ago

Raul Eduardo V. · Reviewed أكثر من سنتين ago

Archana M. · Reviewed أكثر من سنتين ago

Namani B. · Reviewed أكثر من سنتين ago

Rizwaan D. · Reviewed أكثر من سنتين ago

Shiva C. · Reviewed أكثر من سنتين ago

Bogdan M. · Reviewed أكثر من سنتين ago

Alessandro S. · Reviewed أكثر من سنتين ago

CHETAN G. · Reviewed أكثر من سنتين ago

Sarita S. · Reviewed أكثر من سنتين ago

Jagadish P. · Reviewed أكثر من سنتين ago

Hoang T. · Reviewed أكثر من سنتين ago

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 The instructions for navigating to Dataproc (and other services in other labs) in the Google Cloud Console seem out of date, as the Analytics section currently requires opening the "More Products" section of the menu, and it's been more intuitive to just search for the services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

Kavitha Raji S. · Reviewed أكثر من سنتين ago

Mahendra V. · Reviewed أكثر من سنتين ago