Channel: AWS Online Tech Talks

Category: Science & Technology

Tags: elastic mapreduce data sciencespark applicationsbig data applicationshive applicationsamazon emrpresto applicationsbig datahadoop applications

Description: Amazon EMR Serverless is a new deployment option in Amazon EMR that makes it easy and cost-effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. With EMR Serverless, you can run applications built using open-source frameworks such as Apache Spark, Hive, and Presto without having to configure, manage, optimize, or secure clusters. EMR Serverless automatically provisions and scales the compute and memory resources required by your applications, and you only pay for the resources that the applications use. Join us on this session to explore EMR Serverless using concepts, design patterns, live demo and more! Learning Objectives: * Objective 1 - Learn to build applications using Apache Spark or Hive on Amazon EMR without managing clusters. * Objective 2 - How to enable secure shared applications with EMR Serverless. * Objective 3 - Learn to simplify your data pipelines and interactive applications with EMR Serverless. ***To learn more about the services featured in this talk, please visit: aws.amazon.com/emr/serverless