关于“ML on GCP [v1.0] - C4 - A simple Dataflow pipeline (Python)”的评价

Fabrizio F. · 已于 almost 8 years前审核

Finished

Kare B. · 已于 almost 8 years前审核

Very nice that example is in Python not Java.

Justas M. · 已于 almost 8 years前审核

my internet was spinning. Couldn't access lab.

Kare B. · 已于 almost 8 years前审核

osm

Suresh k. · 已于 almost 8 years前审核

Matthew S. · 已于 almost 8 years前审核

This was a nice lab. Very clear, and it was good to see the Dataflow pipeline visualization in action.

Elizabeth B. · 已于 almost 8 years前审核

Siyavash T. · 已于 almost 8 years前审核

Issues with permission creating datalab...

Siyavash T. · 已于 almost 8 years前审核

n

amit f. · 已于 almost 8 years前审核

Siarhei M. · 已于 almost 8 years前审核

Cheng Z. · 已于 almost 8 years前审核

Arjen M. · 已于 almost 8 years前审核

Ok

Romain B. · 已于 almost 8 years前审核

Surya S. · 已于 almost 8 years前审核

C K. · 已于 almost 8 years前审核

Calogero F. · 已于 almost 8 years前审核

Photis G. · 已于 almost 8 years前审核

Excellent lab - very good example to demo Beam

SAM K. · 已于 almost 8 years前审核

I love python so really enjoyed

Michael E. · 已于 almost 8 years前审核

Quick and fast example how to use beam locally and in the cloud

Juan P. · 已于 almost 8 years前审核

Simple and effective. I think for practical purposes, the lecture should include most common cases of pipelines. Most enterprise data sets come from legacy systems such as Oracle DB or mySQL. A connection lecture on creating various pipelines will be tremendous help, even if it is just plain theory without the lab.

Ashar M. · 已于 almost 8 years前审核

Luca L. · 已于 almost 8 years前审核

Clifford J. · 已于 almost 8 years前审核

Please tell PROJECT must be GCP Project ID in order to run grepc.py. Thanks!

Sylvain W. · 已于 almost 8 years前审核