dbt Labs
With dbt, anyone who knows SQL can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation.
Channel created: January 11, 2019
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How Sage used dbt Canvas to migrate complex projects without SQL experts
Our team is not going to have the SQL skillset necessary to move directly onto dbt. dbt Canvas bridges that gap. It's a visual tool that allowed us to focus on the solution and not on how do we cod...
Why Sage's BI team loves dbt Canvas
"One of the strengths of dbt Canvas is that it is an open-ended tool. A lot of times in other vendor platforms, we're kind of restricted on what we can develop and deliver. With dbt Canvas, it real...
Why data teams are excited about the dbt Fusion engine
"Fusion helps us catch errors before hitting the warehouse." Hear from analytics engineers at WMC Health, Bilt Rewards, Whoop, Sweetgreen, Docusign, and Expel on why dbt Fusion is transforming thei...
Why data engineers say dbt is essential for data teams
"Without dbt, the analytical development lifecycle would be at least 10 times slower." Hear from data engineers at Dexcom, Zscaler, and Whoop on why dbt has become the essential tool for developer ...
How dbt transformed the developer experience from the "Wild West" to order for development workflows
"dbt is like the operating system for data." Hear from engineering leaders at Docusign, Bilt, Daiichi Sankyo, and SWBC on how dbt revolutionized their developer experience and brought order to thei...
Why AI needs dbt for conversational analytics
"BI never became self-service, but AI is." Hear from data leaders at EMC Insurance, SWBC, and Zscaler on why dbt is the foundation for trustworthy conversational analytics. In this video, you'll d...
How EQT optimized warehouse costs by 50% and cut runtime 60% with the dbt Fusion engine
Ron Yoon, data platform product manager from EQT, shares how their team achieved dramatic cost savings and performance improvements by migrating to the dbt Fusion engine. In this video, you'll hea...
Apache Iceberg and the catalog layer (w/ Russell Spitzer)
Tristan Handy talks with Russell Spitzer, a PMC member of Apache Iceberg and principal engineer at Snowflake, about the evolution of open table formats and the catalog layer. They dig into identity...
Delivering reliable AI with the dbt Semantic Layer and dbt MCP Server
As teams race to adopt LLMs and agents, many discover the same challenge: AI systems can’t perform well without structured, governed, and consistent context. Critical knowledge—from metrics and def...
ADE-bench: The world’s first comprehensive benchmark for AI-driven analytics and data engineering
So … you’ve probably heard a lot about AI over the last few years. What can it do? What can’t it do? To answer this question, you need to actually put it to the test. That’s why Benn Stancil creat...