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3X Code Conversion

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What is Rocket Enterprise Suite?

Upgrading your mission-critical applications shouldn't mean starting from scratch. We partner with you to make the complex simple. Rocket® Enterprise Suite™ lets you securely migrate mainframe applications using your existing COBOL and PL/I code. This approach drastically reduces risk and delivers the fast project timelines your business needs. Whether you operate on-premises, in the cloud, or in a hybrid environment, our comprehensive suite supports every step of your journey. An AI-powered natural language assistant helps your team quickly understand and document complex code, empowering better DevOps practices. Backed by 40 years of experience and over 1,000 successful modernization projects, we provide a reliable path to agile application development. Build a resilient foundation for the future today. Contact us to discover how we can help you innovate with total confidence.

What is 3X Code Conversion?

3X Code Conversion is an AI-augmented data engineering accelerator that helps enterprises convert legacy SQL, ETL, stored procedures, and platform-specific code into modern cloud data platform code. The accelerator is built for large-scale migrations where manual rewriting can take months, consume scarce engineering talent, and introduce inconsistent quality. It supports source platforms such as Teradata, Oracle, Netezza, SQL Server, MySQL, PostgreSQL, and Redshift, including dialects and workloads such as BTEQ, PL/SQL, NZPLSQL, T-SQL, SSIS, FastLoad, macros, views, and stored procedures. It supports target environments such as Snowflake, Databricks, BigQuery, Microsoft Fabric, Synapse, Delta Lake, Snowpark, Fabric T-SQL, and Spark. 3X Code Conversion starts by ingesting and parsing the legacy codebase, then performs complexity scoring, dependency analysis, risk classification, agentic conversion, automated refactoring, and built-in validation. Its deep code understanding helps preserve business logic that is often buried in undocumented procedures and old ETL scripts. The platform generates target-native code instead of producing a literal copy of legacy syntax. Automated testing verifies row counts, column mappings, data types, null handling, join logic, and regression behavior to catch errors before deployment. Developer guidance identifies partial conversions, failed checks, exact lines, root causes, and recommended fixes so engineers can focus on known issues instead of reverse engineering everything manually. Deliverables can include fully converted production-ready code, partially converted code with action items, validation reports, standardized formatting, comments, migration summaries, documentation, and AI-assisted code review outputs.