Streamline Spark application development on Amazon EMR with the Data Solutions Framework on AWS
Big Data Blog
The article discusses how to streamline Apache Spark application development on Amazon EMR using the Data Solutions Framework (DSF) on AWS, AWS Cloud Development Kit (CDK), and Amazon EMR toolkit.
- Key components include a local development environment, infrastructure as code, and a CI/CD pipeline
- Uses Amazon EMR toolkit for Visual Studio Code to create local Spark development containers
- Leverages DSF constructs to package PySpark applications and create EMR Serverless jobs
- Implements a cross-account CI/CD pipeline with self-mutating capabilities
- Supports automated testing and deployment across different environments
The solution helps developers gain more control over their Spark application development process, reducing manual infrastructure management and accelerating release cycles.
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