Running Apache Spark jobs on Cloud Dataproc Reviews

Chamoun S. · Reviewed over 3 years ago

José C. · Reviewed over 3 years ago

Oscar Andres V. · Reviewed over 3 years ago

Rustem S. · Reviewed over 3 years ago

Job I entered is not running

Meenakshi L. · Reviewed over 3 years ago

Shireesh R. · Reviewed over 3 years ago

Vijayasarathy A. · Reviewed over 3 years ago

Daniel M. · Reviewed over 3 years ago

Jing C. · Reviewed over 3 years ago

Shivakumar A. · Reviewed over 3 years ago

Yogesh P. · Reviewed over 3 years ago

SIVA T. · Reviewed over 3 years ago

Joel D. · Reviewed over 3 years ago

Excelent! Only bugs final steps. When i execute cloud shell code.

Alfonso Gustavo Q. · Reviewed over 3 years ago

Felipe T. · Reviewed over 3 years ago

Delano L. · Reviewed over 3 years ago

Ritu B. · Reviewed over 3 years ago

personally I find this very boring, but other than that very good lab

Luis A. · Reviewed over 3 years ago

Esra K. · Reviewed over 3 years ago

todo bien

Consultor E. · Reviewed over 3 years ago

Federico S. · Reviewed over 3 years ago

Dávid G. · Reviewed over 3 years ago

Aleksandr K. · Reviewed over 3 years ago

This is not clear and could use an image. I believe I followed the right instructions but did not see a change in the output report. Navigate to your storage bucket and note that the output report, /sparktodp/report.png has an updated time-stamp indicating that the stand-alone job has completed successfully. The storage bucket used by this Job for input and output data storage is the bucket that is used just the Project ID as the name.

Alexandre M. · Reviewed over 3 years ago