Processamento ETL no Google Cloud com o Dataflow e o BigQuery (Python) avaliações

Consultor E. · Revisado há over 3 years

EXCELENTE

Consultor E. · Revisado há over 3 years

Ayyappa G. · Revisado há over 3 years

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. · Revisado há over 3 years

The beam pipelines requiere more time

Laura Camila M. · Revisado há over 3 years

Omar Giovanny B. · Revisado há over 3 years

Camilo C. · Revisado há over 3 years

Yery Agusto P. · Revisado há over 3 years

Nur Ali S. · Revisado há over 3 years

Manikantan V. · Revisado há over 3 years

zone us was overloaded

Axel M. · Revisado há over 3 years

Vaibhavi K. · Revisado há over 3 years

Spike J. · Revisado há over 3 years

Vaibhavi K. · Revisado há over 3 years

Trung Duc N. · Revisado há over 3 years

Shaik A. · Revisado há over 3 years

avinash s. · Revisado há over 3 years

Dmitriy E. · Revisado há over 3 years

Pablo Emanuel C. · Revisado há over 3 years

Malina-Elena N. · Revisado há over 3 years

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. · Revisado há over 3 years

Girish B. · Revisado há over 3 years

uday k. · Revisado há over 3 years

Mónica A. · Revisado há over 3 years

Thaina C. · Revisado há over 3 years