dbt Labs

Wow- we’ve got a busy few months coming up with seven in-person dbt Meetups scheduled. So if you’re looking for opportunities to learn with fellow members of the dbt Community, and have fun while doing so, join us at one of the sessions listed below: 🇧🇪 Hasselt | Thursday, November 28th, organized by Sam Debruyn and Arianna Van de Maele 🇧🇷 São Paulo | Tuesday, December 3rd, organized by Bruno Souza de Lima and Thales Donizeti 🇳🇴 Oslo | Wednesday, December 4th, organized by Glitni - Dataplattform og Data Engineering 🇩🇪 Berlin | Thursday, December 5, organized by Eva Schreyer and Victoria Perez Mola (dbt Labs) 🇩🇪 Cologne | Thursday, December 5, organized by Hicham Babahmed and Stephan Durry (dbt Labs) 🇨🇭 Zurich | Thursday, December 5, organized Astrafy 🇹🇼 Taipei | Friday, December 13th, organized by Karen Hsieh, Laurence Chen, Allen Wang, and LI KUAN LIAO dbt Meetups are gatherings dedicated to helping you own your analytics engineering workflow. RSVP now and tag a friend below to invite them along 👯♂️https://lnkd.in/ekknesFN

We’re one of the fastest-growing technology companies in North America 🚀 For the third year in a row, we’re proud to be named to the Deloitte Technology Fast 500. This milestone reflects the dedication of our team, the incredible support of the dbt Community 🧡, and the impact dbt is having on data teams everywhere. A big thank you to everyone who’s been part of this journey. See the full list of honorees here: https://lnkd.in/gfmjX2Az

The countdown to #AWSreInvent is on. Here’s where you can find us in Las Vegas in a couple of weeks: 📍Booth 1795: Stop by to see live demos of how dbt Cloud and Amazon Web Services (AWS) can help simplify your workflows. 📣Lightning session: Join us on Wednesday, December 3 at 4:00 p.m. in Theater 1. Hear from Moderna on how dbt Mesh is bridging the gap between people and data. 🤝1:1 Meetings: Connect with a dbt expert to get personalized insights for your data strategy. Book here: https://lnkd.in/g8hf5rqb Can’t wait to see you there 👋

The 2025 State of Analytics Engineering survey is live 🎉 This is your chance to share the wins, struggles, and trends shaping data teams worldwide. We want to hear from you. Take the survey: https://lnkd.in/gvTgPXUH While you’re at it, let’s settle a friendly debate: SQL commas—are you Team Trailing (the unsung heroes at the end) or Team Leading (the trailblazers at the front)? Cast your vote below👇

Testing data models is like testing code: essential for trust, but how do you keep up when your data ecosystem scales? In our latest blog (https://lnkd.in/ezgfQPpu), Faith McKenna (Lierheimer) and Jerrie Kumalah Kenney explain how to take a smarter approach to testing in analytics engineering. Here’s the gist: 🚀 Define what good looks like: It starts with clear expectations—what should your data represent, and how do you know it’s accurate? 🔍 Focus on what's critical: Blanket tests are tempting, but they’re not efficient. Prioritize what impacts your stakeholders the most. 🛠 Leverage dbt's testing power: Automating tests within dbt ensures every model runs clean and meets your business rules. No surprises when it’s time to present the data. 💡 Continuous learning: A healthy testing strategy evolves as your data systems—and business needs—grow. Data pipelines are living systems. Keeping them error-free isn’t about doing more testing; it’s about doing the right testing.

We’re excited to unveil the partners recognized across the Data Tools & Platforms layer of the 2025 Modern Marketing Data Stack report! Here are our Integration and Modeling partners: Airbyte Alteryx Coalesce.io Dataiku dbt Labs Fivetran Hex Informatica Matillion Qlik Omnata RelationalAI Learn more about these partners and the solutions they deliver on the AI Data Cloud for Marketing in the report: https://okt.to/2CfYaj

Unified data workflows, simplified. The second edition of the One dbt Virtual Event Series focuses on creating a unified data control plane with dbt Core and dbt Cloud. Here’s what you’ll learn: 💡 Innovative data management with Iceberg table format and a live cross-platform dbt Mesh demo featuring Amazon Web Services (AWS) Athena and Redshift ⛅ Smarter multi-cloud strategies to streamline compute and reduce duplicative costs ✨ Scaling governance and accessibility by adding dbt Cloud—without the hassle of migration Amy Chen and Jeff Mills will share insights to help data teams deliver results faster and more effectively. 📅 Mark your calendar: December 11th & 12th 👉 Save your seat today: https://bit.ly/4fPgAwG

💡 What’s the real value of data? In the latest episode of The Analytics Engineering Podcast, Tristan Handy and 📚 Cedric Chin unpack the traditional view of data as a tool for answering questions—and why that perspective often falls short. Cedric highlights a common challenge: data professionals going above and beyond to deliver answers… only to see those insights go unused. How can we shift the narrative to make data truly impactful for businesses? 🎙️ Listen to the full conversation here: https://lnkd.in/gCvSwwP2 What’s your take—how can we ensure data work leads to real outcomes? 👇

Procuring enterprise software is one thing. Getting your team up and running with it to deliver outsized results? That’s the real challenge. To help you get there, we’ve put together a guide on how to introduce dbt Cloud in your organization and ensure successful adoption at scale. It breaks down the process into eight practical steps: 1️⃣ Align with company objectives: Map analytics problems to key business goals. 2️⃣ Benchmark and propose outcomes: Identify gaps in current processes and set measurable improvement goals. 3️⃣ Identify solutions: Compare tools based on outcomes and alignment with your goals. 4️⃣ Define a proof of value (POV): Focus on time-bound use cases to measure impact. 5️⃣ Tabulate results: Record key results against your baseline for two weeks. 6️⃣ Present findings: Summarize outcomes like increased uptime, productivity, and data trust scores. 7️⃣ Create the implementation plan: Develop a phased approach to migration. 8️⃣ Prepare to ramp: Enable more users to participate with automated documentation and community support. This guide is your roadmap for turning plans into action—and making a measurable impact with dbt Cloud. Check out the full guide to learn more https://lnkd.in/gVmAuTuf

Data folks, fill in the blank: If I had a dollar for every time ______, I’d be rich by now 💸