Advanced Data Transformations in SnowPark | Snowflake Tutorial

In this YouTube video, Aimpoint Digital’s Snowflake Solutions Architect, Christopher Marland, explains how we can move from ad-hoc data transformations to more professional, scalable, and automated transformations. The video covers topics such as permanent UDFs, MERGEs, reading data from internal stages, and automating Snowpark for Python data transformations using stored procedures and tasks.  Prior knowledge of Snowpark for Python is recommended, but previous videos are available for reference.  This video provides a link to a Zip file containing the necessary code and demonstrates the data transformations using a Jupyter notebook.  https://drive.google.com/file/d/1XTQu8cHG_9Mm-zhJMQH7lCI6Drp0jcKS/view?usp=sharing  Watch the video to learn more about enhancing your data transformations in Snowpark for Python. 00:00 Introduction 00:54 Earlier Video Links 01:15 What will be covered 02:01 Permanent UDFs 09:12 MERGE 10:20 MERGE Demo 13:56 Reading from Stages 16:14 Automation 17:45 Automation Demo 34:26 Conclusion #python #snowflake #snowpark