Esecuzione di job Apache Spark su Cloud Dataproc recensioni

Alen R. · Recensione inserita circa 3 anni fa

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Puja G. · Recensione inserita circa 3 anni fa

Massipssa K. · Recensione inserita circa 3 anni fa

태현 김. · Recensione inserita circa 3 anni fa

Nikhil D. · Recensione inserita circa 3 anni fa

genta w. · Recensione inserita circa 3 anni fa

庸介 若. · Recensione inserita circa 3 anni fa

恩徐 李. · Recensione inserita circa 3 anni fa

Carlos Alejandro F. · Recensione inserita circa 3 anni fa

Amrit T. · Recensione inserita circa 3 anni fa

Ather K. · Recensione inserita circa 3 anni fa

Heremar M. · Recensione inserita circa 3 anni fa

Raul Eduardo V. · Recensione inserita circa 3 anni fa

Archana M. · Recensione inserita circa 3 anni fa

Namani B. · Recensione inserita circa 3 anni fa

Rizwaan D. · Recensione inserita circa 3 anni fa

Shiva C. · Recensione inserita circa 3 anni fa

Bogdan M. · Recensione inserita circa 3 anni fa

Alessandro S. · Recensione inserita circa 3 anni fa

CHETAN G. · Recensione inserita circa 3 anni fa

Sarita S. · Recensione inserita circa 3 anni fa

Jagadish P. · Recensione inserita circa 3 anni fa

Hoang T. · Recensione inserita circa 3 anni fa

Luis B. · Recensione inserita circa 3 anni fa

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 The instructions for navigating to Dataproc (and other services in other labs) in the Google Cloud Console seem out of date, as the Analytics section currently requires opening the "More Products" section of the menu, and it's been more intuitive to just search for the services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