Snowpark and Sigma Open Machine Learning to Business Teams
Blog post from Sigma
Snowpark enables data science teams to bring Python and other programming languages directly to the Snowflake platform, facilitating the secure and governed execution of machine learning (ML) models where data resides. This integration allows data scientists to move beyond desktop tools and siloed platforms, enabling collaboration and scalability within their organization. Snowpark's adoption has grown, allowing ML models to be developed and processed within Snowflake, enhancing performance, security, and accessibility for business analysts who can now score data and gain insights in one place. The collaboration between Snowpark and Sigma further enhances this ecosystem by enabling users to access data science insights alongside their Snowflake data through a familiar spreadsheet interface. This integration dissolves barriers within data teams, promoting seamless collaboration and unlocking numerous possibilities for developing and running data applications, models, and pipelines, thus empowering organizations to harness the full potential of their data.