Spark jobs require resources - and those resources? They can be pricey. If you're looking to speed up completion times, optimize costs, and reduce resource usage for your Spark jobs, this is the webinar for you.For Spark jobs running on-premises, optimizing resource usage is key. For Spark jobs running in the cloud, for example on Amazon EMR or Databricks, adding resources is a click away - but it’s an expensive click, so cost management is critical.

Amazon EMR is growing in popularity, and is emerging as the leading platform for big data processing on AWS. EMR is the preferred platform for “lift and shift” migration of existing Hadoop and Spark workloads to the cloud, with minimal refactoring. You get better control, enhanced flexibility, and greater responsiveness.