Snowflake as a data platform is the core data repository of many large organizations.
With the introduction of Snowflake's Snowpark for Python, Python developers can now collaborate and build on one platform with a secure Python sandbox, providing developers with dynamic scalability & elasticity as well as security and compliance.
In this talk I'll explain the core concepts of Snowpark for Python and how they can be used for large scale feature engineering and data science.
Michael is Field CTO for Datascience at Snowflake where he helps organisations to implement state of the art machine learning solutions. As a data science professional, he is passionate about sharing with others how to go beyond standard use cases and implement machine learning techniques for big data. He is based out of Munich, Germany.
visit the speaker at: Github