Modernize Spark workloads with Amazon EKS for better price performance

Customers are becoming more data-driven and leveraging the capabilities provided by containers for agility, portability, and flexibility. In this session, we cover how to run Spark workloads on Amazon Elastic Kubernetes Service (Amazon EKS) to improve resource utilization, cost, and price performance. We also demonstrate how easy it is to migrate your existing workloads to Amazon EMR on Amazon EKS without any application changes.

Speaker: Melody Yang, Senior Big Data Architect, Amazon EMR, AWS
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Modernize Spark workloads with Amazon EKS for better price performance

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