ML on GCP [v1.0] - C4 - Um canal simples do Dataflow (Python) avaliações

Fabrizio F. · Revisado há almost 8 years

Finished

Kare B. · Revisado há almost 8 years

Very nice that example is in Python not Java.

Justas M. · Revisado há almost 8 years

my internet was spinning. Couldn't access lab.

Kare B. · Revisado há almost 8 years

osm

Suresh k. · Revisado há almost 8 years

Matthew S. · Revisado há almost 8 years

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

Elizabeth B. · Revisado há almost 8 years

Siyavash T. · Revisado há almost 8 years

Issues with permission creating datalab...

Siyavash T. · Revisado há almost 8 years

n

amit f. · Revisado há almost 8 years

Siarhei M. · Revisado há almost 8 years

Cheng Z. · Revisado há almost 8 years

Arjen M. · Revisado há almost 8 years

Ok

Romain B. · Revisado há almost 8 years

Surya S. · Revisado há almost 8 years

C K. · Revisado há almost 8 years

Calogero F. · Revisado há almost 8 years

Photis G. · Revisado há almost 8 years

Excellent lab - very good example to demo Beam

SAM K. · Revisado há almost 8 years

I love python so really enjoyed

Michael E. · Revisado há almost 8 years

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

Juan P. · Revisado há almost 8 years

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. · Revisado há almost 8 years

Luca L. · Revisado há almost 8 years

Clifford J. · Revisado há almost 8 years

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

Sylvain W. · Revisado há almost 8 years