Automatically build a complete dependency map of all sources, data stores, and consumers
DataYoga transpiles legacy ETL code to a universal representation called DataYoga Markeup Language (DYML). Automagically generate modern, clean, beautiful code in PySpark, Spark, or Apache BEAM*
Build and run regression tests and unit tests to verify everything is working as expected.
Having your business logic in a cloud agnostic repository means you can truly be multicloud. Deploy to any cloud*
Visually author and build complex pipelines. Debug and run locally before deploying to production
Create a single source of truth for data products and data dependencies