Bradley Culberson

In this session, you will learn how to build a real-time streaming solution based on Interactive tables and Interactive warehouses. You will develop and deploy an end-to-end solution using Python, Snowpipe Streaming High-Performance Architecture and other data engineering features, which ingests data, transforms it and queries in seconds.

In this hands-on lab, you'll build a production-ready streaming data pipeline using Python and Snowflake's new Rowset API. Learn how to efficiently ingest real-time data streams into Snowflake, create automated aggregations, and visualize insights through an interactive Streamlit application. You'll walk away with practical experience in modern data engineering techniques and a functional end-to-end pipeline that can handle continuous data flows at scale.