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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
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Cross-regional Mainframe Data Access by Multiple Departments
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Reliance on Mainframe Batch Processing for Regular Reports
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Creation of a Unified Data Repository for Downstream Applications
Results
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Reducing MIPS Usage in Mainframes
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Ensuring RAW Data Availability for All Downstream Applications
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Facilitating Easy User Access for Data Analytics and Reporting
Solution
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Analyzing, Mapping, and Building Copy Books for Master Files (COBOL, Easytrieve, Assembler)
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Implementing Trailer Splitting from Master Files Using Python Split Scripts
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Developing Processing Parameter File for Python Conversion Scripts
Benefits
Cost Savings:
40%
​
Conversion
+20%
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