Big Data & ML Fundamentals: Lab 1 (v1.1) Reviews
734 reviews
Very good platform for training
Harshal N. · Reviewed כמעט 8 שנים ago
Nishant K. · Reviewed כמעט 8 שנים ago
yes
SABYASACHI H. · Reviewed כמעט 8 שנים ago
Prudhvi D. · Reviewed כמעט 8 שנים ago
shanthi d. · Reviewed כמעט 8 שנים ago
Adrian M. · Reviewed כמעט 8 שנים ago
Great lab!!!
Sting C. · Reviewed כמעט 8 שנים ago
Ruize L. · Reviewed כמעט 8 שנים ago
Toan Xuan M. · Reviewed כמעט 8 שנים ago
Some of the excerises didn't work and was difficult to diagnose why. Frustrating, otherwise happy with the experience.
Valentin R. · Reviewed כמעט 8 שנים ago
great !
Harindra A. · Reviewed כמעט 8 שנים ago
Kristen C. · Reviewed כמעט 8 שנים ago
michelle c. · Reviewed כמעט 8 שנים ago
Shamsudheen K. · Reviewed כמעט 8 שנים ago
interesting that some products were quite slow to spin up, a lot of overlap with the Intro/Fundamentals course that was given previously
Jean C. · Reviewed כמעט 8 שנים ago
It was ok but not spectacular
Jake J. · Reviewed כמעט 8 שנים ago
Fairly clear, except I'm left wondering about the scripts authorize_dataproc.sh and authorize_cloudshell.sh because they're so useful. I think I could simulate those functions by (for example) first going to the dataproc instance then clicking to start a shell instance, and I'd hope GCP would authorize that shell for that dataproc instance, otherwise I'll be wanting to write my own such script for this common task. So, in the end that's a little unclear and I'll have to loop back some other day to investigate.
Peter R. · Reviewed כמעט 8 שנים ago
Basic but fun
Chengchen W. · Reviewed כמעט 8 שנים ago
It would have been interesting to understand what the spark_py program is really doing. Also, it seems to take a long time to provision certain resources (esp. cloudQL)
Eric J. · Reviewed כמעט 8 שנים ago
Thank you!
Kirk G. · Reviewed כמעט 8 שנים ago
Tim F. · Reviewed כמעט 8 שנים ago
Tommi V. · Reviewed כמעט 8 שנים ago
Jessy B. · Reviewed כמעט 8 שנים ago
Laurent C. · Reviewed כמעט 8 שנים ago
PFF
jerome g. · Reviewed כמעט 8 שנים ago
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