Building Batch Pipelines in Cloud Data Fusion avaliações

Izabela S. · Revisado há almost 3 years

Seshukumar M. · Revisado há almost 3 years

Varma E. · Revisado há almost 3 years

Manpreet S. · Revisado há almost 3 years

Thanks

Haraprasad M. · Revisado há almost 3 years

Joel W. · Revisado há almost 3 years

Luis Alberto M. · Revisado há almost 3 years

Daniel S. · Revisado há almost 3 years

Maura T. · Revisado há almost 3 years

Allen L. · Revisado há about 3 years

Sumit K. · Revisado há about 3 years

Good lab, but a lot of waiting. And got tripped up at credentials stage when creating the IAM role.

Student22 Q. · Revisado há about 3 years

Student20 Q. · Revisado há about 3 years

Really nice walkthrough and great use of Titanic dataset.

Student25 Q. · Revisado há about 3 years

Evan M. · Revisado há about 3 years

I wasn't able to use the Cloud Fusion API because it required me to input my billing information

Josephine J. · Revisado há about 3 years

Wrangler not connecting to BQ in studio

Karis B. · Revisado há about 3 years

Mehrdad R. · Revisado há about 3 years

Jorge Alberto . · Revisado há about 3 years

Marcos K. · Revisado há about 3 years

Jorge N. · Revisado há about 3 years

Eder T. · Revisado há about 3 years

Soumyasmita P. · Revisado há about 3 years

Data fusion is too slow in creating instances and executing the pipelines. Most of the time spent on this lab is waiting...

Ling C. · Revisado há about 3 years