Running Apache Spark jobs on Cloud Dataproc Reviews

Chamoun S. · Reviewed больше 3 лет ago

José C. · Reviewed больше 3 лет ago

Oscar Andres V. · Reviewed больше 3 лет ago

Rustem S. · Reviewed больше 3 лет ago

Job I entered is not running

Meenakshi L. · Reviewed больше 3 лет ago

Shireesh R. · Reviewed больше 3 лет ago

Vijayasarathy A. · Reviewed больше 3 лет ago

Daniel M. · Reviewed больше 3 лет ago

Jing C. · Reviewed больше 3 лет ago

Shivakumar A. · Reviewed больше 3 лет ago

Yogesh P. · Reviewed больше 3 лет ago

SIVA T. · Reviewed больше 3 лет ago

Joel D. · Reviewed больше 3 лет ago

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

Alfonso Gustavo Q. · Reviewed больше 3 лет ago

Felipe T. · Reviewed больше 3 лет ago

Delano L. · Reviewed больше 3 лет ago

Ritu B. · Reviewed больше 3 лет ago

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

Luis A. · Reviewed больше 3 лет ago

Esra K. · Reviewed больше 3 лет ago

todo bien

Consultor E. · Reviewed больше 3 лет ago

Federico S. · Reviewed больше 3 лет ago

Dávid G. · Reviewed больше 3 лет ago

Aleksandr K. · Reviewed больше 3 лет 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 больше 3 лет ago