Want an easier way to run big data applications in the cloud? Introducing Amazon EMR Serverless, a new deployment option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks such as Apache Spark and Apache Hive without configuring, managing, and scaling clusters or servers. EMR Serverless automatically scales resources up and down to provide just the right amount of capacity for your application. You pay only for what you use and you can minimize concerns about over- or under-provisioning. In this episode, Radhika Ravirala (Principal Product Manager) and Natacha Maheshe (Principal Product Marketing Manager) join Hawn to discuss EMR Serverless use cases, how EMR Serverless addresses customers challenges, and how you can started.

Learn more about EMR Serverless - https://go.aws/390CjW1

Read the blog - https://go.aws/38Q86sA

Check out the What's New announcement - https://go.aws/39bMWFg

Watch the video - https://bit.ly/3NxW0nb