Legacy Data Migration (Modernize)
A leading insurance company sought to create a data lake for their Mainframe master files in the AWS cloud environment.
Challenges
- Cross-regional Mainframe Data Access by Multiple Departments
- Reliance on Mainframe Batch Processing for Regular Reports
- Creation of a Unified Data Repository for Downstream Applications
Results
- Reducing MIPS Usage in Mainframes
- Ensuring RAW Data Availability for All Downstream Applications
- Facilitating Easy User Access for Data Analytics and Reporting
Solution
- Analyzing, Mapping, and Building Copy Books for Master Files (COBOL, Easytrieve, Assembler)
- Implementing Trailer Splitting from Master Files Using Python Split Scripts
- Developing Processing Parameter File for Python Conversion Scripts
Benefits
Cost Savings:
40%
Conversion
+20%