Amazon EMR is the industryleading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. In this tech talk, we introduce you to Amazon EMR design patterns and architectural best practices. We show how EMR can help you run Petabytescale analysis at less than half of the cost of traditional onpremises solutions and over 3x faster than standard Apache Spark. You'll learn how to spin up and spin down clusters as needed for short jobs and how to create highly available clusters that automatically scale to meet demand. Discover how Apache Hudi simplifies building data pipelines. You will also learn how to run EMR clusters on AWS Outposts for onpremises or hybrid deployments.

Learning Objectives:
*Learn how to design a big data environment using best practices
*Find out the best way to support Apache Spark, Hive, HBase and other open source applications
*See how to choose the right approach for both short and longrunning jobs

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/emr Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTec...

Follow Amazon Web Services:
Official Website: https://aws.amazon.com/whatisaws
Twitch:   / aws  
Twitter:   / awsdevelopers  
Facebook:   / amazonwebservices  
Instagram:   / amazonwebservices  

☁ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bitesized 15minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch ondemand tech talks at your own pace. Join us to fuel your learning journey with AWS.

#AWS