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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ETL is over: Faster, smarter pipelines with dbt
Still stuck in the ETL era? You’re not alone, but the smartest teams are already moving on. Legacy ETL tools weren’t built for the cloud, and they’re holding your data team back. From bloated pipe...
The art of data-driven decision making (The View on Data, Ep. 4)
In this episode of The View on Data, hosts Faith McKenna, Paige Berry, and Erica 'Ric' Louie, along with new co-host Jerrie Kenny, explore the intricacies of data-driven decision-making, the import...
Modeling for success: Building data structures that last
Poor data modeling is one of the most common and costly mistakes teams make when implementing dbt. Quick fixes and one-off designs may seem faster in the moment, but they create hidden risks: redun...
How to build reliable AI agents with the dbt MCP Server
AI agents are evolving beyond chat, but too many still rely on raw data without the context needed for safe, scalable automation. Without structure and governance, agents hallucinate, workflows bre...
How to work smarter (not harder) in data (The View on Data, Ep. 3)
Perfectionism. Over-engineering. Spending way too much time on regex code that should’ve just been a copy-paste. In this episode of The View on Data, Faith, Ric, and Grace swap stories about the ti...
From stored procedures to dbt: Your playbook for successful migrations
Stored procedures were built for a different era. They’re often opaque, hard to maintain, and too rigid to keep up with today’s demand for fast, reliable insights. As data teams face growing pressu...
Okta + dbt
Okta, the world’s identity company, relies on dbt to power fast, trusted, and reliable decision-making across the business. By implementing dbt, Okta achieved: • Robust governance across data pipe...
Agentic coding in analytics engineering (w/ Mikkel Dengsøe)
Tristan talks with Mikkel Dengsøe, co-founder at SYNQ, to break down what agentic coding looks like in analytics engineering. Mikkel walks through a hands-on project using Cursor, the dbt MCP serve...
From COBOL Developer to Insurance Data Engineer: Brad Cronkrite (Ep 25)
In this conversation, Brad Cronkrite shares his journey from a developer to a lead data analytics engineer at Mercury Insurance. He discusses the critical role of data in the insurance industry, th...
How to unlock self-serve analytics with dbt Canvas
Data teams are increasingly expected to deliver trusted insights, fast. And that means enabling more people across the business to take part in data transformation, not just those in the IDE. In t...