Tech Talks

Join our expert panel featuring leaders from Decodable, Redpanda, and Old Mutual as we uncover the key trends shaping the real-time data and AI landscape.

Join us to ask Gunnar all your Debezium and CDC-related questions and we promise you'll get substantially more than a canned response from an AI chat prompt.

By adopting Decodable’s real-time data platform, Drata transformed their data operations, ensuring real-time data streaming, reducing costs, and enhancing their ability to innovate.

Join Eric Sammer, CEO of Decodable, as he compares Decodable and Amazon Managed Service for Apache Flink (MSF) across eight critical areas that determine the success of your real-time data platform.

Join us for a live demo where we'll guide you through a real-time data ingestion use case for a vector database and showcase how to do it with Decodable's latest managed PyFlink offering.

Join Eric Sammer, CEO and Founder of Decodable, as he gives an under-the-hood look at Decodable's architecture and explains the key concepts that enable its real-time ETL capabilities. This talk is designed for data architects, data engineers, and technical decision-makers who are evaluating real-time data integration platforms.

Apache Flink has risen to prominence as the go-to solution for stream processing, embraced by industry giants like Alibaba, Uber, and Netflix. Join Eric Sammer, CEO of Decodable, as he explores real-time data platforms powered by Apache Flink. He’ll dive into the pros and cons of each and how they can help your organization innovate and grow.

With Multi-Stream Connectors (MSC) in Decodable, you can now employ a single connection to manage streaming data movement from multiple external resources with ease. Join Decodable engineers Gunnar Morling and John MacKinnon for this live tech talk and demo as they build a multi-stream data flow from a MySQL database to Snowflake.