Databricks driver sizing impact on cost and performance
Databricks driver sizing impact on cost and performance
As many previous blog posts have reported, tuning and optimizing the cluster configurations of Apache Spark is a notoriously difficult problem. Especially when a data engineer needs to lower costs or accelerate runtimes on platforms such as EMR or Databricks on AWS, tuning these parameters becomes a high priority. Here at Sync, we will experimentally
Jeffrey Chou07 Feb 2023
Blog, Case Study
