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