Keith Gaputis

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.

In today's high-velocity data landscape, real-time streaming is the key to competitive advantage. Discover how Snowflake revolutionizes streaming data integration from popular streaming platforms including Apache Kafka and Amazon Kinesis. Learn best practices about streaming ingestion in Snowflake, and experience seamless ingestion, powerful in-flight transformations and custom flows that turn real-time data into immediate business value.