关于“Running Apache Spark jobs on Cloud Dataproc”的评价
46069 条评价
Massipssa K. · 已于 over 2 years前审核
태현 김. · 已于 over 2 years前审核
Nikhil D. · 已于 over 2 years前审核
genta w. · 已于 over 2 years前审核
庸介 若. · 已于 over 2 years前审核
恩徐 李. · 已于 over 2 years前审核
Carlos Alejandro F. · 已于 over 2 years前审核
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Jagadish P. · 已于 over 2 years前审核
Hoang T. · 已于 over 2 years前审核
Luis B. · 已于 over 2 years前审核
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 The instructions for navigating to Dataproc (and other services in other labs) in the Google Cloud Console seem out of date, as the Analytics section currently requires opening the "More Products" section of the menu, and it's been more intuitive to just search for the services each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. · 已于 over 2 years前审核
Kavitha Raji S. · 已于 over 2 years前审核
Mahendra V. · 已于 over 2 years前审核
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