dbt Labs

And that’s a wrap on SKO 2026 🎉 A few days in Las Vegas with our global go-to-market team, aligning on the year ahead and spending real time together. The highlight was being in the same room. From early morning runs, coffee chats, team dinners, and hallway conversations, our people are what make dbt so special 🧡 If you want to help data teams change how data gets done, we’re hiring across our sales org. Come build with us at dbt Labs https://lnkd.in/gqQhgUvY

60% faster jobs. 50% lower warehouse costs. 4x fresher data. Ron Yoon from EQT Group shares how their team migrated to the dbt Fusion engine, starting with their most expensive projects and seeing immediate impact. “The proof is in the pudding. We saw the cost savings immediately.”

Help shape how dbt and agentic workflows evolve together. Agents are increasingly being used alongside dbt to build, test, and manage data projects. And agent skills are quickly becoming the way teams give those agents real depth in dbt best practices. We’re exploring an open question: Should dbt provide native support for managing agent skills? The idea is simple: Declare skills in dependencies.yml. Install them with dbt deps. Onboard agents into a dbt project with zero extra friction. Packages could ship with skills. Teams could share skills. The Community could publish and discover them, just like dbt packages today. This is an early discussion. It’s possible existing third-party tools are the right answer. But adoption is accelerating, and we want to explore whether a dbt-native approach makes workflows simpler and more reliable. If you’re using agents with dbt, or thinking about it, we’d value your input. Join the GitHub discussion and help shape what comes next https://lnkd.in/ggTmqK7X

6 dbt Meetups are happening soon. Join us. Connect with your local dbt Community at one of our upcoming Meetups: 🇺🇸 New York - February 25 at 5:30 pm, organized by Jill Grozalsky Roberson, David A. Gelman, Ph.D., and Guru Mahendran 🇯🇵 Tokyo - February 25 at 7:00 pm, organized by Moe Matsuda, Shinya Takimoto, shota asano, and Toshitaka Ito 🇬🇧 London - March 4 at 6:00 PM, organized by Edward Hayter, Nathan Purvis, and James Charnley 🇩🇰 Copenhagen - March 11 at 5:30 PM, organized by Marie-Christin Henkelmann 🇨🇭 Zurich - March 12 at 6:00 PM, organized by Katia Boré and Stephan Durry 🇧🇷 Florianópolis - March 26 at 7:00 PM, organized by Bruno Lima, Angela Alves Ferreira, and Thales Donizeti Whether you're new to dbt or a seasoned pro, come network, learn, and share with fellow data practitioners in your area 🤝 Find your local dbt chapter at https://lnkd.in/ekknesFN and join the group to get notified about future events.

Turn your coding agent into a dbt migration expert. Watch this automated migration flow run with dbt Agent Skills + Claude Code Opus 4.6. One prompt ports a dbt project to Snowflake → compiles it → generates modern YAML unit tests → switches targets → fixes errors → and validates with a clean build. All automatically. So you can keep moving and feel confident your agent is running a reliable dbt workflow. Less manual grind. More repeatable shipping.

dbt Labs was named a 2026 Top Rated Sales Org by RepVue as part of the Reppy Awards. What makes this one meaningful: it’s based on feedback from our own sales team. Strong leadership. Realistic targets. Clear paths for growth. A product that delivers real impact in the data space. This recognition reflects the team building it every day. If you’re interested in what we’re building, and who we’re building it with, we’re hiring: https://lnkd.in/gqQhgUvY

What’s in and out in 2026 for data teams? In this episode of The View on Data, Jerrie Kumalah Kenney, Erica Louie, and Faith McKenna (Lierheimer) share what they’re bringing into the year and what they’re leaving behind. In: • Simplifying workflows instead of adding more layers • Clean, useful documentation, not more of it, better of it • Frameworks that connect data work to real business context • Using AI to organize your thinking, not replace it • Making work engaging again • Saying “I don’t know” and figuring it out • Dropping “that’s too technical for me” Out: • Over-engineering • Five intermediate models where one will do • AI-generated docs with no point of view • Complexity for the sake of looking advanced • Pretending to know everything • Letting perfection block progress What’s in and out for you this year? 🎧 Listen wherever you get your podcasts.

dbt Core v1.11 is out, and this live event is your backstage pass. Join the dbt Core team for a guided walkthrough of what shipped in 1.11, with real context from the people who shipped it. Part deep dive, part release party 🪩 What’s on the agenda: • What shipped in 1.11, including UDFs, adapter improvements, and new deprecation warnings • Live demos • A look ahead at what’s coming next on the Core roadmap • Live Q&A with the team You’ll hear directly from: • Grace Goheen, Product Manager, dbt Labs • Zeeshan Qureshi, Senior Manager, Engineering, dbt Labs • Anders Swanson, Senior DX Advocate, dbt Labs We’ll also randomly select a few attendees to receive giveaways as a thank-you for joining us live. Register below ⬇️

Rise and shine ☀️ The early bird gets the best deal on dbt Summit tickets. dbt Summit is the world’s largest gathering of data leaders, practitioners, and organizations shaping the future of data and AI. Register now to save $1,300, our deepest ticket discount. The first 100 registrants also get a limited-edition dbt Labs swag drop. 📍 The Cosmopolitan, Las Vegas 📅 September 15–18, 2026 Get your discounted ticket https://lnkd.in/gcUK3kA3

Data leaders are talking about cost savings with the dbt Fusion engine, but not in abstract terms. They’re seeing immediate reductions in compute spend just by turning it on. They’re catching upstream changes before they break downstream models. They’re moving faster with a developer experience built for efficiency. For consulting firms, that means delivering measurable savings to clients. For enterprise teams, it means freeing up budget to invest in AI, the Semantic Layer, and other priorities. Hear from leaders at SWBC, Mammoth Growth, PMG, ING, and Zscaler on what Fusion is changing for their teams.