Mastering AWS Elastic Map Reduce (EMR) for Data Engineers

• Creating Clusters using AWS Elastic Map Reduce Web Console
• Setup Remote Application Development using AWS Elastic Map Reduce (EMR) and Visual Studio Code
• Develop and Validate Simple Spark Application using Visual Studio Code and AWS Elastic Map Reduce (EMR)
• Deploy Spark Application as Step to AWS Elastic Map Reduce (EMR)
• Manage AWS Elastic Map Reduce (EMR) based Pipelines using Boto3 and Python
• Build End to End AWS Elastic Map Reduce (EMR) based Pipelines using AWS Step Functions
• Develop Applications using Spark SQL on AWS EMR Cluster
• Build State Machine or Pipeline using AWS Step Functions using Spark SQL Script on AWS EMR Cluster
• Understand how to pass parameters to Spark SQL Scripts deployed on EMR

Who this course is for:

• University Students who want to learn AWS Elastic Map Reduce to process heavy volumes of data with hands on and real time examples
• Aspiring Data Engineers and Data Scientists who want to master building data pipelines using AWS Elastic Map Reduce for large scale Data Processing
• Experienced Application Developers who would like to explore how to build end to end Data Pipelines using Python and AWS Services such as AWS Elastic Map Reduce
• Experienced Data Engineers to build end to end data pipelines using Python and AWS Elastic Map Reduce
• Any IT Professional who is keen to deep dive into AWS Elastic Map Reduce (EMR) for heavy weight Data Processing

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