ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews

The synthetic data is too small to really appreciate the capabilities of DataFlow. It looks as it took a lot of time to process only 9 rows. That discourages people to invest in the product.

Miguel Alejandro G. · Reviewed almost 3 years ago

The beam pipelines requiere more time

Laura Camila M. · Reviewed almost 3 years ago

Omar Giovanny B. · Reviewed almost 3 years ago

Camilo C. · Reviewed almost 3 years ago

Yery Agusto P. · Reviewed almost 3 years ago

Nur Ali S. · Reviewed almost 3 years ago

Manikantan V. · Reviewed almost 3 years ago

zone us was overloaded

Axel M. · Reviewed almost 3 years ago

Vaibhavi K. · Reviewed almost 3 years ago

Spike J. · Reviewed almost 3 years ago

Vaibhavi K. · Reviewed almost 3 years ago

Trung Duc N. · Reviewed almost 3 years ago

Shaik A. · Reviewed almost 3 years ago

avinash s. · Reviewed almost 3 years ago

Dmitriy E. · Reviewed almost 3 years ago

Pablo Emanuel C. · Reviewed almost 3 years ago

Malina-Elena N. · Reviewed almost 3 years ago

The first Dataflow pipeline outputs a table called "usa_names", but the assessment expects "usa_names_transformed". I got around it by cloning the table with a new name in BigQuery, but others might not figure this out.

Alex P. · Reviewed almost 3 years ago

Girish B. · Reviewed almost 3 years ago

uday k. · Reviewed almost 3 years ago

Mónica A. · Reviewed almost 3 years ago

Thaina C. · Reviewed almost 3 years ago

Mohtasham S. · Reviewed almost 3 years ago

PAWAN S. · Reviewed almost 3 years ago

Ravijot .. · Reviewed almost 3 years ago