2 years ago

This post is one in a series we are running in anticipation of the ScaleUp:AI conference, taking place April 6-7 in New York. https://www.rasgoml.com/ was founded in 2020 to solve this problem by making it easier for data scientists to prepare data in a production-ready manner, leveraging the cloud data warehouse. After working with hundreds of data scientists across a multitude of industries, my co-founder and I consistently saw data scientists frustrated by the cumbersome effort associated with data prep for ML. The vast majority of their time was spent extracting, exploring, cleansing, joining and transforming data — rather than developing models and solving tough problems.

As data warehouses improve their support for python UDFs, RasgoQL will enable easy bundling of transform code that stays in python alongside your other transforms so that the whole transform chain can be orchestrated together.