From Raw Data to an Interactive Data App in an Hour - Powered by Snowpark Python

Discover how to build an end-to-end data pipeline and interactive data application using Snowpark Python in this 35-minute talk. Learn to create a Streamlit data app for visualizing advertising spend ROI, covering environment setup, data engineering with Snowpark DataFrames, operational pipeline creation using Snowflake Tasks, machine learning with Snowpark ML, and building an interactive Streamlit application. Gain hands-on experience in transforming raw data into actionable insights, from data ingestion to deploying ML models as user-defined functions, all without extensive web development knowledge.

From Raw Data to an Interactive Data App in an Hour: Powered by Snowpark Python