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Sep 9, 2022
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3 changes: 2 additions & 1 deletion README.md
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# Running a Data Processing Job on EMR Serverless with AWS Step Functions and AWS Lambda using Terraform (By HashiCorp)
# Run a data processing job on Amazon EMR Serverless with AWS Step Functions


In this blog we showcase how to build and orchestrate a [Scala](https://www.scala-lang.org/) Spark Application using [Amazon EMR Serverless](https://aws.amazon.com/emr/serverless/) , AWS Step Functions and [Terraform By HashiCorp](https://www.terraform.io/). In this end to end solution we execute a Spark job on EMR Serverless which processes sample click-stream data in Amazon S3 bucket and stores the aggregation results in Amazon S3.
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* Open AWS Console, Navigate to “EMR” > “Serverless” tab on the left pane.
* Select “clicklogger-dev-studio” and click “Manage Applications”
* The Application created by the stack will be as shown below clicklogger-dev-loggregator-emr-<Your-Account-Number>



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