关于“ETL Processing on Google Cloud Using Dataflow and BigQuery (Python)”的评价

EXCELENTE

Consultor E. · 已于 about 1 year前审核

Consultor E. · 已于 about 1 year前审核

EXCELENTE

Consultor E. · 已于 about 1 year前审核

Ayyappa G. · 已于 about 1 year前审核

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. · 已于 about 1 year前审核

The beam pipelines requiere more time

Laura Camila M. · 已于 about 1 year前审核

Omar Giovanny B. · 已于 about 1 year前审核

Camilo C. · 已于 about 1 year前审核

Yery Agusto P. · 已于 about 1 year前审核

Nur Ali S. · 已于 about 1 year前审核

Manikantan V. · 已于 about 1 year前审核

zone us was overloaded

Axel M. · 已于 about 1 year前审核

Vaibhavi K. · 已于 about 1 year前审核

Spike J. · 已于 about 1 year前审核

Vaibhavi K. · 已于 about 1 year前审核

Trung Duc N. · 已于 about 1 year前审核

Shaik A. · 已于 about 1 year前审核

avinash s. · 已于 about 1 year前审核

Dmitriy E. · 已于 about 1 year前审核

Pablo Emanuel C. · 已于 about 1 year前审核

Malina-Elena N. · 已于 about 1 year前审核

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. · 已于 about 1 year前审核

Girish B. · 已于 about 1 year前审核

uday k. · 已于 about 1 year前审核

Mónica A. · 已于 about 1 year前审核