Sandy Ryza is releasing version Dagster 1.1: Thank U, Next, a significant update that includes support for declarative, asset-based scheduling, improvements to Fivetran, Airbyte, and dbt Cloud integrations, and more. Declarative scheduling models each data asset as a function of its predecessors and schedules work based on how up-to-date you want your data to be. This feature will make working with assets much more efficient by declaring at the asset level how frequently it should be updated. The new release also includes a sensor that can monitor the state of multiple assets, partitioning of Software-defined Assets, easier exploratory data analysis on notebooks, and environment variables for local development. Additionally, there are enhancements to Dagit (Dagster UI), including an Overview page with a live run timeline, a Deployment page for managing Dagster instances, and improvements to the Asset Graph and Asset Details page. The release also includes updates to integrations with dbt Cloud, Airbyte, Fivetran, and DuckDB.