关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价

Janaki Devi G. · 已于 almost 3 years前审核

last bit was confusing

Laura m. · 已于 almost 3 years前审核

lei c. · 已于 almost 3 years前审核

fermin h. · 已于 almost 3 years前审核

John E. · 已于 almost 3 years前审核

Vinay K. · 已于 almost 3 years前审核

Subash E. · 已于 almost 3 years前审核

Context was not always clear. For example the table name logs.logs was not obvious.

Yaroslav L. · 已于 almost 3 years前审核

satisfied

Jodavid F. · 已于 almost 3 years前审核

Job keeps running forever & does nothing , time runs out not sure whats hapening

Mahen b. · 已于 almost 3 years前审核

Ana Rita D. · 已于 almost 3 years前审核

Мар‘яна Б. · 已于 almost 3 years前审核

Vinay K. · 已于 almost 3 years前审核

Мар‘яна Б. · 已于 almost 3 years前审核

Matteo B. · 已于 almost 3 years前审核

Dylan V. · 已于 almost 3 years前审核

Karthikeyan R. · 已于 almost 3 years前审核

Ferenc S. · 已于 almost 3 years前审核

ok

Kuttalaraj R. · 已于 almost 3 years前审核

Rogier L. · 已于 almost 3 years前审核

Nicolas T. · 已于 almost 3 years前审核

Well designed lab! Good job!

Michael W. · 已于 almost 3 years前审核

Raul M. · 已于 almost 3 years前审核

An N. · 已于 almost 3 years前审核

The check got stuck into bq show --schema --format=prettyjson logs.logs | sed '1s/^/{"BigQuery Schema":/' | sed '$s/$/}/' > schema.json cat schema.json export PROJECT_ID=$(gcloud config get-value project) gsutil cp schema.json gs://${PROJECT_ID}/ even though it's created schema.json on cloud storage and not able to pass the check after this point. very disappointing.

Avanish P. · 已于 almost 3 years前审核