Join us for an exciting in-person talk exploring how Confluent Tableflow is redefining real-time data integration with Snowflake. This session will highlight how Tableflow simplifies streaming data workflows by exposing Kafka topics as Apache Iceberg tables—eliminating the need for complex ETL and enabling faster, more accessible analytics and AI applications. Learn how to unlock real-time insights and empower decision-makers across your organization.

As always, we'll kick off with a happy hour of drinks and light appetizers—a great opportunity to connect with fellow data professionals and unwind with the community.

🎤 Featured Speaker

Chris Holly
Senior Product Manager, Confluent

Chris Holly leads product management for Tableflow at Confluent, shaping the integration between streaming data and the Confluent ecosystem. Before Confluent, Chris worked at AWS where he drove strategy for integrating streaming event sources, such as Apache Kafka, with AWS Lambda. His background in cloud-native data systems brings valuable insights into the evolution of real-time analytics.

💬 What You’ll Learn

• How Tableflow integrates real-time Kafka data directly into Snowflake

• The benefits of exposing Kafka topics as Iceberg tables

• How this approach removes ETL complexity

• Practical use cases for real-time analytics and AI workflows

🎟️ Spots are limited – reserve your seat today and join us for great content, drinks, and networking!