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This lab provides you with hands-on experience in creating an EMR cluster, submitting a job, and monitoring its execution using a practical data processing example.
Objectives
- Create and configure an EMR cluster using default values.
- Submit a predefined batch job using EMR Steps.
- Monitor job execution and verify results.
Prerequisites
- Basic familiarity with the AWS Management Console
- Basic understanding of data file formats (CSV, Parquet)
- No prior experience with Apache Spark or EMR is required
- No coding experience is needed as the Spark application is provided
Outline
Task 1: Create an AWS KMS Key
Task 2: Create a Security Configuration in Amazon EMR
Task 3: Launching an Amazon EMR Cluster
Task 4: Submit a Spark ETL Job Using EMR Steps
Task 5: Advanced Job Monitoring
Task 6: Verify Job Output in Amazon S3
