Eric Anderson (@ericmander) and Patrick Dougherty (@cpdough) talk about Rasgo, the data transformation platform for MLOps that makes generating SQL easy. The team at Rasgo recently open-sourced a package called RasgoQL, that allows users to execute SQL queries against a data warehouse using Python syntax. Tune in to find out how Rasgo aims to bridge an important gap in the Modern Data Stack.

In this episode we discuss:

• The advantages of offering both a low-code/no-code UI and a Python interface
• "How can a data scientist, without needing full-time resources from data engineering, be somewhat self-sufficient in data prep and able to deliver those insights without a massive human capital investment needed?"
• Where Rasgo fits into the world of feature stores
• Why one Rasgo user took a trip to a wind farm in Texas
• Eric’s predictions for the future of data prep and transformation

Links:

• Rasgo
• RasgoQL
• DuckDB
• Delta Lake

People mentioned:

• Jared Parker (@jaredtparker_)