Partitioned Tables in Google BigQuery Reviews

Ibrahim A. · Reviewed almost 2 years ago

Nissie H. · Reviewed almost 2 years ago

Anubhav R. · Reviewed almost 2 years ago

Anubhav R. · Reviewed almost 2 years ago

Felipe T. · Reviewed almost 2 years ago

Sudhanshu S. · Reviewed almost 2 years ago

Ahmer A. · Reviewed almost 2 years ago

Ahmer A. · Reviewed almost 2 years ago

Kanako T. · Reviewed almost 2 years ago

Juan M. · Reviewed almost 2 years ago

Pamela R. · Reviewed almost 2 years ago

Aldo Rovani d. · Reviewed almost 2 years ago

brenda n. · Reviewed almost 2 years ago

Nicolas T. · Reviewed almost 2 years ago

Itamar N. · Reviewed almost 2 years ago

Parveen Kumar R. · Reviewed almost 2 years ago

Oluwaseun O. · Reviewed almost 2 years ago

Rafael P. · Reviewed almost 2 years ago

Michael B. · Reviewed almost 2 years ago

Lisa P. · Reviewed almost 2 years ago

Okan S. · Reviewed almost 2 years ago

Yuka K. · Reviewed almost 2 years ago

Aleksandra O. · Reviewed almost 2 years ago

For the second exercise, they should have demonstrated how the partitioned data used less processing power to query by date. AND, I am not sure why querying across all those partitions (to determine expiration time) doesn't take a lot of processing power - it has to query across every partition. It'd be good to explain that.

Heinz W. · Reviewed almost 2 years ago

Mohamed Amine T. · Reviewed almost 2 years ago