One dbt: Data collaboration built on trust with dbt Explorer

Watch part three of our virtual event series on how dbt delivers a common unified framework for solving complex analytics challenges. This time, we’re focusing on the features and workflows of dbt Cloud that connect practitioners and consumers with high-quality data. Watch now and discover how to explore, improve, and trust your data assets with dbt. What you’ll gain from watching: -Eliminate data silos and build trust: Learn how dbt Explorer brings practitioners and stakeholders together with high-quality data, making it turnkey for teams to explore, improve, and trust their data assets. U-nderstand data impact with auto-exposures: Discover how auto-exposures offer automatic context into how data products are used downstream, so you can fine tune them and delight your stakeholders. -Build context with model query history: See which models are popular (or not) with model query history, helping you prioritize dev work. -Share real-time signals on data quality: Embed data health tiles into any downstream application so your stakeholders can build confidence in the data they're about to use. -Advanced CI for data validation: Learn how to validate changes to your data products before they’re merged into production, catching any unexpected behaviors before they impact your stakeholders. Meet our speakers: Alexis Jones, Director, Product Marketing at dbt Labs Roxi Dahlke, Product Manager at dbt Labs Read the blog for the full recap: https://www.getdbt.com/blog/dbt-explorer-collaboration-trust Learn more about dbt Explorer: https://www.getdbt.com/product/dbt-explorer