Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) Reviews

Janaki Devi G. · Reviewed almost 3 years ago

last bit was confusing

Laura m. · Reviewed almost 3 years ago

lei c. · Reviewed almost 3 years ago

fermin h. · Reviewed almost 3 years ago

John E. · Reviewed almost 3 years ago

Vinay K. · Reviewed almost 3 years ago

Subash E. · Reviewed almost 3 years ago

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

Yaroslav L. · Reviewed almost 3 years ago

satisfied

Jodavid F. · Reviewed almost 3 years ago

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

Mahen b. · Reviewed almost 3 years ago

Ana Rita D. · Reviewed almost 3 years ago

Мар‘яна Б. · Reviewed almost 3 years ago

Vinay K. · Reviewed almost 3 years ago

Мар‘яна Б. · Reviewed almost 3 years ago

Matteo B. · Reviewed almost 3 years ago

Dylan V. · Reviewed almost 3 years ago

Karthikeyan R. · Reviewed almost 3 years ago

Ferenc S. · Reviewed almost 3 years ago

ok

Kuttalaraj R. · Reviewed almost 3 years ago

Rogier L. · Reviewed almost 3 years ago

Nicolas T. · Reviewed almost 3 years ago

Well designed lab! Good job!

Michael W. · Reviewed almost 3 years ago

Raul M. · Reviewed almost 3 years ago

An N. · Reviewed almost 3 years ago

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. · Reviewed almost 3 years ago