It's finally (almost) here. The best way to get ready is by upgrading *now* to the latest & greatest that dbt Core has to offer

With the DAG-in-the-IDE (now available to all dbt Cloud users), analytics engineers can seamlessly navigate the core structure of their dbt project with low friction and low cognitive load, making the entire development process more intuitive, pleasant, and efficient.

Our friends at Materialize, the world’s first SQL-platform for processing streaming data, have officially launched a new dbt adapter, now available in open beta. Together, we’re opening the door for analysts to become first-class creators and users of streaming analytics.

This SQL-first integration with Databricks means that analysts can build fully automated data pipelines in the same space that data engineers & data scientists work in their preferred frameworks.

Staging is a ✨new✨ quarterly event that brings dbt users (that’s you!) into the product development lifecycle (where I spend my days 😅).

Spark for analytics, for real: now in dbt Cloud

Two amazing companies in the modern data stack–Fivetran and Census–have launched major integrations with dbt. Here's why I'm excited about this.