Snowflake in Practice: Data Engineering

This session dives deep into modern data engineering on Snowflake, covering the tools and capabilities that make pipelines faster, more reliable, and easier to manage. We’ll explore Dynamic Tables for declarative pipeline development, OpenFlow for no-code data ingestion, Snowpipe Streaming for low-latency data delivery, and Snowpark for Python-based data transformations. We’ll also cover Iceberg interoperability, showing how teams can unify open table formats within Snowflake without data duplication.

Ideal for Data Engineers looking to modernize their ingestion and transformation workflows.