What's New in Databricks SQL -- With Live Demos

We’ve been pushing ahead to make the lakehouse even better for data warehousing across several pillars: native serverless experience, best in class price performance, intelligent workload management & observability and enhanced connectivity, analyst & developer experiences. As we look to double down on that pace of innovation, we want to deep dive into everything that’s been keeping us busy.
In this session we will share an update on key roadmap items. To bring things to life, you will see live demos of the most recent capabilities, from data ingestion, transformation, and consumption, using the modern data stack along with Databricks SQL.
Talk by: Can Efeoglu
Connect with us: Website: databricks.com
Twitter: / databricks
LinkedIn: / databricks
Instagram: / databricksinc
Facebook: / databricksinc

[@artus198]

With databricks , everything is a haze of cloud to me. I hope they have intellisense kind of feature, where syntax is prompted... !

[@somant4273]

Do materialized views support left outer joins for incremental data update?