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Data and the art of balance (The View on Data, Ep. 5)
In data, there’s always more to do. More metrics, more dashboards, more to learn. But what happens when “more” becomes too much? In this episode of The View on Data, Ric, Faith, Paige, and Jerrie ...
Talk to your data: AI-powered conversational analytics with the dbt MCP server
Ask three different chatbots for “revenue this quarter,” and you may get three different numbers. Trust erodes, adoption stalls, and your data team inherits the mess. Without shared definitions and...
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...
dbt MCP Server Office Hours — Integrating AI and dbt
Watch our interactive dbt Community Webinar where we explore the powerful emerging paradigm shaping AI-agentic workflows: the dbt Model Context Protocol (MCP) Server. This is your chance to dive d...
From Informatica to dbt: A migration path to an AI-ready data control plane
Legacy ETL tools weren’t built for today’s data teams. If you’re still on Informatica, you’re paying too much, moving too slow, and struggling to get your stack ready for AI. It doesn’t have to be...
Coalesce 2025 recap
Highlights from Coalesce 2025, the premier analytics engineering conference for data practitioners. Catch up on the keynotes and select breakout sessions with on-demand content. Register at https:/...
dbt Fusion engine demo (Coalesce 2025)
Elias DeFaria, product manager at dbt Labs, gives a demo of the dbt Fusion engine at Coalesce 2025. Watch on-demand all 3 keynotes and select breakout sessions from Coalesce 2025 at: https://coal...
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...
From Ballet Mech Engineer, to HR Tech Data Engineer: Larissa Mendes (Ep 24)
In this episode, Bolaji interviews Larissa Mendes, a Level 3 Data Engineer at Gupy, who shares her unique journey from mechanical engineering to data engineering. Larissa discusses her experience...
From Nonprofit & Education, to Senior BI Analyst @ JustWorks: Millie Symns (Ep 23)
In this episode of Data Career Transformations, Bolaji interviews Millie Symns, a senior business intelligence analyst at JustWorks. Millie shares her journey into the data field, emphasizing the...
From Semi-Pro Baseball to Dir of Engineering @ BetterHelp: Johnathan JB Brooks (Ep 22)
In this conversation, Bolaji and JB discuss JB's journey from semi-pro baseball player to a data engineering leader at BetterHelp. They explore the balance between mental health and high-pressure e...
From Optimizing Physical Warehouses, to Optimizing FinOps Data Warehouses: Eddy Zulkifly (Ep 21)
In this episode of Data Career Transformations, Bolaji interviews Eddie Zulkifly, a senior staff data engineer at Kanaxis. They discuss Eddie's journey from chemical engineering to data engineeri...
From From Data Science & Engineering, to AI & ML Solutions Architect: Louis Guitton (Ep 20)
In this episode, Bolaji interviews Louis Guitton, an engineering leader with extensive experience in data engineering and analytics. They discuss Louis's journey from sports to data, his experience...
Under the hood of Apache Iceberg (w/ Christian Thiel)
Tristan digs deep into the world of Apache Iceberg. There's a lot happening beneath the surface: multiple catalog interfaces, evolving REST specs, and competing implementations across open source, ...
Overcoming impostor syndrome in tech (The View on Data, Ep.2)
In this episode of The View on Data, hosts Lauren Benezra, Faith Lierheimer, Erica Louie, and Paige Berry get real about a feeling so many data professionals experience but don’t always talk about—...
The dbt Fusion engine: Incremental compilation demo
Anders Swanson, Senior DX Advocate at dbt Labs, walks through one of the newest Fusion capabilities: incremental compilation. Traditional compiles in dbt Core can take several minutes for large pr...
How to use the dbt VS Code extension
The dbt VS Code extension is now in preview, bringing a hyper-fast, intelligent dbt development experience right into your editor. In this demo, we’ll show you how to: -Install the dbt extension f...
How to start a career in data (The View on Data, Ep.1)
Welcome to the very first episode of The View on Data, a new monthly roundtable podcast from dbt Labs. In this first episode, we get to know your hosts, Lauren Benezra, Paige Berry, Grace Goheen, ...
Modernize self service analytics with dbt
Today’s analysts are under pressure to deliver insights fast, but often outside of governed workflows. The result? Disconnected tools, duplicated logic, and dashboards no one fully trusts. Watch t...
The pragmatic guide to AI agents in the enterprise (w/ Sean Falconer)
What does it mean to be agentic? Is there a spectrum of agency? In this episode of The Analytics Engineering Podcast, Tristan Handy talks to Sean Falconer, senior director of AI strategy at Con...
Unlocking Insights with Model Context Protocol (MCP) (Ep #3)
In this episode of the Data Analyst Show, the show hosts engage in a lively discussion with guests Jason Ganz and Yesi Cisneros about the Model Context Protocol (MCP) and its implications for data ...
From Quantum Physicist to Roche Head of Engineering: Yannick Misteli (Ep 19)
In this episode, Bolaji interviews Yannick Mistelli, head of engineering at Roche, who shares his unique journey from a PhD in quantum physics to a leadership role in data science. Yannick discus...
How Amazon S3 works (w/ Andy Warfield)
In this season of the Analytics Engineering podcast, Tristan is deep into the world of developer tools and databases. If you're following us here, you've almost definitely used Amazon S3 it and its...
From CFO to Data Engineer? Philip Boontje (Ep 18)
In this episode of Data Career Transformations, Bolaji interviews Philip Boontje, a finance executive and data architect. Philip shares his unique journey from chemical engineering to finance and u...
2025 State of Analytics Engineering
The results are in! It’s time to interpret them. The 2025 State of Analytics Engineering report is out, capturing the pulse of a fast-moving ecosystem with hard data. But what do these findings mea...
2025 dbt Launch Showcase
The work of analytics is evolving in the AI era, and organizations need a scalable foundation to empower teams to tackle this next wave with confidence and agility. Whether you’re a data practition...
dbt + BigQuery: What’s new from Google Cloud Next 25
dbt Cloud lands on Google Cloud! Your data control plane and platform can now live together in harmony on Google's trusted infrastructure. Check out our webinar with the Google Cloud team where we...
From Docker to Dagger (w/ Solomon Hykes)
In this season of the Analytics Engineering podcast, Tristan is digging deep into the world of developer tools and databases. There are few more widely used developer tools than Docker. From its la...
The history and future of the data ecosystem (w/ Lonne Jaffe)
In this decades-spanning episode, Tristan Handy sits down with Lonne Jaffe, Managing Director at Insight Partners and former CEO of Syncsort (now Precisely), to trace the history of the data ecosys...
From Psychology to Analytics Engineering: Juan Manuel Perafan (Ep 17)
In this episode, Bolaji interviews Juan Manuel Perafan, a psychology major turned analytics engineer, who shares his journey from Colombia to the Netherlands and his transition into the data field....
dbt Community AMA with Tristan Handy and Lukas Schulte- May 2025
Tristan Handy, Lukas Schulte, and Jason Ganz, discussing what the May 28th annual dbt launch showcase means for you. Special Guests: Tristan Handy, CEO of dbt Labs Lukas Schulte, cofounder of SDF ...
From cost center to profit driver: How modern teams optimize data costs
Want to turn your data team from a cost center into a revenue engine, but not sure where to start? Check out our on-demand webinar to learn how top data leaders are shifting from cost center to str...
The future of data analytics at dbt Labs (The Data Analyst Show #2)
In this episode of the Data Analyst Show, the hosts discuss their experiences with new features at dbt, particularly focusing on the Insights feature, Co-Pilot, and Canvas. They share how these to...
dbt: The world runs on data
The standard for AI on structured data. Rely on dbt to power your analytics workflows with trusted, AI-ready data. Learn more at https://www.getdbt.com/product/dbt
dbt Product Spotlight: dbt
The standard for AI on structured data. Rely on dbt to power your analytics workflows with trusted, AI-ready data. Change how you do data. Ditch silos and centralize your analytics workflows on a ...
dbt Canvas
dbt Canvas, an all-new, AI-powered visual editing experience in dbt is generally available. With dbt Canvas, data analysts can finally take an active role in data transformation. They can use an i...
dbt MCP server demo
Teams only have to plug into the dbt MCP server once to enable any AI system. Discover, query, and execute with confidence and speed With the dbt MCP server, teams connect once to discover, query,...
dbt Launch Showcase reaction: Sr Resident Architect reacts to a new era in data transformation
In this conversation, Bolaji and Benoit discuss the upcoming launch of dbt's new offering, Benoit's journey in the data world, and the excitement surrounding the new features. They explore how the ...
Grow at dbt Labs
We believe in moving up the stack. See our open roles at https://www.getdbt.com/about-us/careers
Culture at dbt Labs
We are a mission-driven company. We believe that profits are an important tool in the pursuit of our mission, but they are not the mission itself. We contribute to the knowledge loop. The highest ...
Why dbt Labs
Support data teams everywhere with a company united by shared values. dbt Labs is up-leveling the analytics profession through a workflow we call analytics engineering. If you want to build a caree...