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

Janaki Devi G. · Reviewed почти 3 лет ago

last bit was confusing

Laura m. · Reviewed почти 3 лет ago

lei c. · Reviewed почти 3 лет ago

fermin h. · Reviewed почти 3 лет ago

John E. · Reviewed почти 3 лет ago

Vinay K. · Reviewed почти 3 лет ago

Subash E. · Reviewed почти 3 лет ago

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

Yaroslav L. · Reviewed почти 3 лет ago

satisfied

Jodavid F. · Reviewed почти 3 лет ago

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

Mahen b. · Reviewed почти 3 лет ago

Ana Rita D. · Reviewed почти 3 лет ago

Мар‘яна Б. · Reviewed почти 3 лет ago

Vinay K. · Reviewed почти 3 лет ago

Мар‘яна Б. · Reviewed почти 3 лет ago

Matteo B. · Reviewed почти 3 лет ago

Dylan V. · Reviewed почти 3 лет ago

Karthikeyan R. · Reviewed почти 3 лет ago

Ferenc S. · Reviewed почти 3 лет ago

ok

Kuttalaraj R. · Reviewed почти 3 лет ago

Rogier L. · Reviewed почти 3 лет ago

Nicolas T. · Reviewed почти 3 лет ago

Well designed lab! Good job!

Michael W. · Reviewed почти 3 лет ago

Raul M. · Reviewed почти 3 лет ago

An N. · Reviewed почти 3 лет 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 почти 3 лет ago