EZConvertETL | DataStage to AWS Glue/PySpark Migration

EZConvertETL simplifies the migration from DataStage to AWS Glue/PySpark by automating the conversion of workflows into AWS’s serverless ETL framework. This approach minimizes manual intervention, accelerates migration timelines, and eliminates dependency on costly, legacy DataStage infrastructure.

With EZConvertETL, you can:

• Automate the conversion of DataStage workflows, reducing manual effort and expediting the migration process.
• Transition away from DataStage’s legacy infrastructure, lowering ongoing operational costs and improving flexibility.
• Leverage AWS Glue’s serverless architecture to enhance scalability, boost performance, and prepare for future growth.
• Streamline the migration process, ensuring minimal disruption and a smooth transition to Glue/PySpark.

Approach

Wavicle’s migration approach integrates consulting expertise with the automated capabilities of EZConvertETL to provide a structured, efficient, and transparent migration to AWS Glue. This ensures the delivery of high-quality, functional ETL workflows while maintaining clarity throughout the project.

Steps include:

1. Analyzing DataStage workflows that require migration and providing detailed insights in an easy-to-understand Excel spreadsheet.
2. Automating the conversion of workflows from DataStage to AWS Glue/PySpark, ensuring functional and performance requirements are met.
3. Performing unit testing on all converted workflows to validate accuracy, addressing any discrepancies identified during testing.

Deliverables

At the end of the DataStage-to-AWS Glue/PySpark conversion process, you will receive:

• Fully migrated and unit-tested workflows operating seamlessly in AWS Glue/PySpark.
• Detailed test reports for each workflow, verifying accuracy and functionality.
• A comprehensive migration report, including analysis, a conversion summary, and performance benchmarks.