Running Apache Spark jobs on Cloud Dataproc Reviews

Sudipto G. · Reviewed about 1 year ago

Vigneshwaran R. · Reviewed about 1 year ago

Dhruv J. · Reviewed about 1 year ago

Uma Maheswar Reddy P. · Reviewed about 1 year ago

Christophe V. · Reviewed about 1 year ago

Jason B. · Reviewed about 1 year ago

Ridwan N. · Reviewed about 1 year ago

Gabriel Z. · Reviewed about 1 year ago

Swetha P. · Reviewed about 1 year ago

Al-Haçan F. · Reviewed about 1 year ago

Vikram S. · Reviewed about 1 year ago

Karishma K. · Reviewed about 1 year ago

Sumit K. · Reviewed about 1 year ago

Harine J. · Reviewed about 1 year ago

Kishore K. · Reviewed about 1 year ago

I enjoyed.

Mayuko K. · Reviewed about 1 year ago

Lakshhya B. · Reviewed about 1 year ago

pratiksha c. · Reviewed about 1 year ago

Sivasubramanian M. · Reviewed about 1 year ago

tallapally g. · Reviewed about 1 year ago

konda s. · Reviewed about 1 year ago

Nour S. · Reviewed about 1 year ago

wrong instructions all over the lab

Preet S. · Reviewed about 1 year ago

Kelvin S. · Reviewed about 1 year ago

less copying of code and more detail on the process of creating the python file, creating the job, and deploying would be helpful. If we assumed the job already existed, we would be most interested in migrating it to google cloud, configuring, scheduling/deploying, not copying code. that part is a waste of time and detracts from the real value of the lab.

Noel W. · Reviewed about 1 year ago