@tanyajoshi
Pro member
I break prod so you do not have to. Spark by day, real-time analytics on weekends.
Migrated a PySpark script from the DataFrame API to Glue DynamicFrame for catalog integration. Same logic, but DPU hours went from around 12 to 28 per run. Using bookmark and push_down_predicate on the partition column. Anything obvious that makes DynamicFrame more expensive?
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No cluster. No install. Just the tab.