Migrate Java Pipelines to SQL in Minutes with AI | Prophecy Data Transformation Demo

Speed up your legacy code conversion! In this demo, Callum Finlayson show how Prophecy's AI transformation agent converts complex Java data pipeline code into clean, visual, production-ready SQL in minutes. In this video, you'll see: ✅ How to convert existing Java pipeline code with Prophecy's AI agent ✅ AI-generated visual pipeline with full data transformation logic preserved ✅ Side-by-side output validation (Java vs. SQL, same results) ✅ Auto-generated dbt Core-compliant SQL with CTEs (no vendor lock-in!) ✅ How subject matter experts can own data pipelines without writing code This insurance claims pipeline example shows how Prophecy handles real-world legacy code migration at speed. It turns abstract, hard-to-read Java into a visual, auditable, open-source dbt workflow that runs on Databricks, Snowflake, or BigQuery. 🔗 Learn more about Prophecy: https://prophecy.ai?utm_source=youtube&utm_content=migrate_java_pipelines Timestamps 0:00 Introduction: Java to SQL migration with Prophecy 0:17 Overview of the existing Java pipeline (insurance use case) 0:35 Running the Java code on Databricks 0:40 Genie dashboard preview 0:43 Opening Prophecy's AI Transformation Agent 1:04 Prompting the agent with the Java code 1:31 Reviewing the AI-generated pipeline 1:52 Java output vs. SQL output 2:16 Under the hood: dbt Core-compliant SQL & CTEs 2:34 Fully portable open-source output 2:55 Recap & key takeaways 3:14 Why Prophecy for legacy code migration