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cobol-to-databricks-migration

Translate COBOL mainframe batch programs into PySpark or Spark SQL code.

Updated Jan 22, 2026
Search Tags:#pyspark#databricks#cobol#healthcare analytics#mainframe migration#legacy code conversion
One-click install
npx skills add https://github.com/bigdatavik/databricks-skills-legacy-migration --skill cobol-to-databricks-migration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cobol-to-databricks-migration
Source: https://github.com/bigdatavik/databricks-skills-legacy-migration/tree/main/skills/cobol-migration
Command: npx skills add https://github.com/bigdatavik/databricks-skills-legacy-migration --skill cobol-to-databricks-migration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

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.

Frequently Asked Questions about cobol-to-databricks-migration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert COBOL mainframe batch programs to PySpark for Databricks?▼

COBOL to PySpark migration handles healthcare-specific patterns by translating claims adjudication, HEDIS measures, and RAF scoring workflows into Spark SQL. This preserves 100% business logic accuracy for payer analytics during legacy code conversion.

What is the process for migrating legacy COBOL claims adjudication jobs to Databricks?▼

Migrating COBOL claims adjudication jobs to Databricks involves converting PERFORM loops and file I/O into PySpark patterns. This process ensures accurate financial calculations and compliance with healthcare payer rules while enabling faster distributed processing.

Can I use PySpark to translate COBOL data division and procedure division for healthcare analytics?▼

Yes, you can translate the COBOL data division and procedure division into PySpark code for healthcare analytics. This conversion accurately handles legacy file I/O and healthcare-specific workflows like risk adjustment and prior authorization on Databricks.

Does converting COBOL to Spark SQL preserve business logic for healthcare payer rules?▼

Before starting a mainframe migration to Databricks, you need your original COBOL source code and an understanding of your healthcare payer analytics requirements. The Skill then automates the legacy code conversion into PySpark without requiring external dependencies.

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