cobol-to-databricks-migration
CommunityMigrate COBOL to PySpark, unlock legacy data.
Data & Analytics#pyspark#databricks#cobol#healthcare analytics#mainframe migration#legacy code conversion
Authorbigdatavik
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the conversion of legacy COBOL mainframe batch programs into modern PySpark or Spark SQL code, preserving 100% business logic accuracy for healthcare payer analytics.
Core Features & Use Cases
- COBOL to PySpark Translation: Converts DATA DIVISION, PROCEDURE DIVISION, PERFORM loops, and file I/O to Databricks patterns.
- Healthcare Analytics Focus: Supports HEDIS measures, claims adjudication, risk adjustment (RAF/HCC), and prior authorization workflows.
- Use Case: Migrate a critical COBOL claims adjudication batch job to Databricks, ensuring accurate financial calculations and compliance with payer rules, while enabling faster, distributed processing.
Quick Start
Use the cobol-to-databricks-migration skill to convert the provided COBOL code into PySpark for healthcare payer analytics.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cobol-to-databricks-migration Download link: https://github.com/bigdatavik/databricks-skills-legacy-migration/archive/main.zip#cobol-to-databricks-migration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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