关于“Running Apache Spark jobs on Cloud Dataproc”的评价

Sertaj M. · 评论about 3 years之前

This an excellent introduction to primary data proc features; I hope someday I can work with you in the cloud department =)

Vladimir E. · 评论about 3 years之前

Vishakha T. · 评论about 3 years之前

Biswojit S. · 评论about 3 years之前

Biswojit S. · 评论about 3 years之前

Pushpen J. · 评论about 3 years之前

Alejandro . · 评论about 3 years之前

Alejandro . · 评论about 3 years之前

Alejandro . · 评论about 3 years之前

Ilyas M. · 评论about 3 years之前

Rodolfo L. · 评论about 3 years之前

Could not quite figure out where within the cloud console am I able to navigate to the storage bucket as I added the files; of course, I could see them on the shell using gsutil; Also, within the limited time of the lab, it was good to try to comprehend the various shell scripts / commands but would have liked to spend a little more time on that aspect for my own learning; I did make a small change early on wherein I chose a diff storage region (US-east) as I thought I am supposed to pick one that is closest to me geographically; accordingly, made small edit to the shell script later on used to run the job; All in all, we get some sense of connecting to GCS bucket as our primary storage BUT the job we ran --- would have liked to spend a little more time to comprehend the details of the analysis. thanks.

Sandeep Kumar N. · 评论about 3 years之前

sebastien M. · 评论about 3 years之前

Murali K. · 评论about 3 years之前

Sourav B. · 评论about 3 years之前

Great

Tech E. · 评论about 3 years之前

Asad R. · 评论about 3 years之前

good exercise in explaining spark job migration to dataproc

Saravanavel P. · 评论about 3 years之前

dhaneesh k. · 评论about 3 years之前

Jerik G. · 评论about 3 years之前

Nuno Silas B. · 评论about 3 years之前

Puneet S. · 评论about 3 years之前

Thanks

Sahayam J. · 评论about 3 years之前

Dan E. · 评论about 3 years之前

Consultor E. · 评论about 3 years之前