dbt provides software for high-quality, trusted, and reliable data management to power business operations.

dbt Labs is on a mission to empower data practitioners to create and disseminate organizational knowledge. Since pioneering the practice of analytics engineering through the creation of dbt—the data transformation framework made for anyone that knows SQL—we've been fortunate to watch more than 20,000 companies use dbt to build faster and more reliable analytics workflows.

dbt Labs also supports more than 3,000 customers using dbt Cloud, the centralized development experience for analysts and engineers alike to safely deploy, monitor, and investigate that code—all in one web-based UI.

Amplify Partners

Andreessen Horowitz

Sequoia Capital

Altimeter Capital

Altimeter

Coatue

Google Ventures

Tiger Global Management

ICONIQ Growth

Salesforce Ventures

Databricks Ventures

Snowflake

dbt Labs

Sara Gawlinski here, taking over the dbt Labs LinkedIn with some exciting news: unit tests are finally LIVE in dbt 🎉

You've always had tests to catch whether or not a model will run in production, but now with unit tests, you can validate your model logic before it even hits your data platform. That means you’re not just asking “Will it build?” but can include the nuance of “Will it do what it’s supposed to?” 🧠

If a unit test fails, the model won’t build—saving you from unreliable data products and unnecessary platform costs.

Check out this quick video showcasing this game-changing feature, and start building performant, cost-effective, and reliable models today 🥇

Nobody will remember:
- your salary
- how “busy you were”
- how many hours you worked

People will remember:
- when the Finance dash matched the Sales dash
- that one time you found the extra } in a model with 100s of lines of code in record time
- if you could just pull this number real quick

Hey, it’s me Sara Gawlinski from the product team, back at it for day 2 of our Product Spotlight Series! I’m taking over dbt Labs’ LinkedIn page all week long to showcase some of the COOLEST new features in dbt Cloud ⚡️

Let’s get into it. 

⏱️ Your data consumers need trusted answers—fast. But your data teams need to deliver those answers in a governed, scalable way. And let's face it, not everyone speaks SQL 🤷♂️

Meet Ask dbt.

This native chatbot in dbt Cloud understands natural language questions like “What was last quarter's revenue by region?” and delivers back accurate, governed metrics powered by the dbt Semantic Layer. 

No more bottlenecks, no more risky data, and best of all—no SQL required. 🙌  

Lean on Ask dbt to answer almost anything… except maybe “Is brat summer really over?” 🍏

Now your business can make faster decisions without burning out your data teams.

🎥 Check out this quick demo to see how you can turn questions into trusted answers with ease with Ask dbt.

Watch now: Tristan Handy, our Founder and CEO, speaks with Ryan C. Green on Snowflake’s "Data Cloud Now" about how #AI is shaping the future of data and how dbt Labs is leading the charge in the rapidly evolving data ecosystem.

👋 I’m Sara Gawlinski from the product marketing team. All week, I’ll be taking over the dbt Labs LinkedIn and sharing daily insights into the latest dbt Cloud features designed to supercharge your analytics workflows.

🌟 Introducing: the Product Spotlight Series 🌟

First up: dbt Explorer, your ultimate command center for data management 🚀

We all know that sinking feeling when a data request hits your inbox 😬 ”How can I do this without inadvertently breaking something?”—but with dbt Explorer, there’s no need to stress.

Instantly visualize your entire DAG, uncover dependencies, and access critical details like execution status, test results, and query metrics. Dive deeper to navigate your data estate with ease using lineage lenses and column-level lineage. And when that last-minute request to add a new parameter comes through? No problem. The column evolution lens has you covered, showing you exactly how columns flow, transform, and rename across your pipeline.

With dbt Explorer, you're in control, keeping your pipelines running smoothly and your stakeholders smiling.

🎥 Watch our quick demo video to see it in action, or dive into the docs (link in comments) to learn more.

🙋♀️ Then, let us know in the comments how lineage lenses and column-level lineage might improve your workflow.

We’re proud to be listed among Built In’s roundup of companies with the best diversity and inclusion programs 🧡

At dbt Labs, we are deeply committed to fostering a work environment that is welcoming, supportive, and inclusive to all.

🎥 Watch Finn Russell, our DEI Manager, share more about this exciting recognition and the DEI initiatives that we continue to invest in. 

Learn more about our #DEI philosophy and ongoing efforts here: https://lnkd.in/gCAcuQW9

Join our live, 2-hour course, Getting Started with the dbt Semantic Layer. With this interactive session, you’ll understand what the dbt Semantic Layer is, its purpose, when to use it in your projects, and how to connect to Hex for analysis and visualizations.

👨💻 Attend live with hosts Faith Lierheimer, Mark Wan and Michelle Baird from dbt Labs and Armin Efendic from Hex to:

• Discover how to query the Semantic Layer directly from Hex, an analytics and visualization tool, expanding your ability to analyze and share data insights.
• Learn how to set up entities, dimensions, and measures in your semantic models and how to configure and use metrics effectively
• Get live support—ask questions, join discussions, and code along with us

Sign up to get recordings and recap content on-demand.

Register here: https://bit.ly/4dEX8lt

As more companies embark on Generative AI (#GenAI) projects, the success of these initiatives hinges on high-quality, well-governed data. This shift is redefining the roles of data engineers, analytics engineers, and other data professionals. Let’s take a look at how:

🚀 GenAI adoption: While many companies are still focused on self-service analytics, a growing number are using Machine Learning, NLP, and predictive analytics to enhance their capabilities.

🔧 Evolving roles: Data engineers are moving beyond data pipelines to focus on self-service infrastructure and AI-oriented data delivery. This shift is crucial for enabling smooth transitions from GenAI prototypes to production-ready applications.

🔒 Data governance: Effective data governance is more important than ever. High-quality data and robust data governance practices are essential for successful GenAI projects.

🤝 Collaboration through data products: Data products, supported by features like dbt’s data contracts and Explorer, are key to fostering collaboration between data producers and consumers, ensuring that high-quality data is accessible for various use cases.

GenAI is changing how we interact with data, and data engineers are at the forefront of this evolution. By focusing on quality, governance, and collaboration, companies can build a strong foundation for the future of AI.

Explore more about developing a modern data strategy for #AI in our blog post from co-founder Drew Banin (link in comments).

Limited time offer ending August 23: Score $300 off your ticket to #Coalesce2024 ⏳

Use code Coalesce20 and secure your spot before prices go up https://bit.ly/3M5FMlP

Austin, we’ve arrived 🎉 

dbt Labs is planting roots in the Texas tech scene with the opening of our newest office in Austin, Texas.

As we continue to grow, this new space will be a hub for collaboration, innovation, and building the future of analytics engineering. Let’s give a big Texas “welcome” to our Austin team 👋

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