Demo: Create streaming data pipelines with the dbt adapter and Materialized Tables

In this demo, Senior Technical Marketing Manager David Marsh explores how Confluent’s new dbt adapter empowers data engineers to build real-time analytics pipelines using familiar dbt workflows to manage Flink SQL resources. He also demonstrates how to leverage Materialized Tables for in-place statement updates and how to use the new confluent-sql Python driver to query streaming data directly from Python. LEARN MORE ► Materialized Tables documentation: https://docs.confluent.io/cloud/current/flink/concepts/materialized-tables.html ► dbt adapter documentation: https://docs.confluent.io/cloud/current/flink/operate-and-deploy/deploy-flink-dbt.html ► dbt adapter GitHub: https://github.com/confluentinc/dbt-confluent ABOUT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit https://www.confluent.io/. #confluent #confluentcloud #apacheflink #dbt