Delve into the core concepts and applications of data quality with dbt. With a focus on practical implementation, you'll learn to deploy custom data tests, unit testing, and linting to ensure the reliability and accuracy of your data operations. After this course, you will be able to: Recognize scenarios that call for testing data quality Implement efficient data testing methods to ensure reliability (data tests, unit tests) Navigate other quality checks in dbt (linting, CI, compare) Prerequisites for this course include: dbt Fundamentals What to bring: You will need to bring your own laptop to complete the hands-on exercises. We will provide all the other sandbox environments for dbt and data platform. Duration: 2 hours Fee: $200 Trainings and certifications are not offered separately and must be purchased with a Coalesce pass Trainings and certifications are not available for Coalesce Online passes

Get hands-on experience migrating an existing dbt project to Fusion in this interactive workshop. Work alongside dbt experts who will guide you through common migration patterns, troubleshooting techniques, and best practices for optimizing dbt with Fusion. You'll leave this session with practical solutions on how to upgrade a dbt project to Fusion. After this course, you will be able to: Use dbt with Fusion to speed up model compilation, improve development workflows, and get deeper insights into your project’s structure. Prerequisites for this course include: dbt fundamentals What to bring: You will need to bring your own laptop. We will use the dbt VS Code Extension, so please install VS Code ahead of time. Duration : 2 hours Fee : $200 Trainings and certifications are not offered separately and must be purchased with a Coalesce pass. Trainings and certifications are not available for Coalesce Online passes.

In data and analytics, influence often shows up in less visible ways, through the systems you build, the decisions you shape, and the trust you earn. This panel brings together women working across the data stack to talk candidly about how they’ve made an impact in their roles.

Get ready to accelerate your career trajectory! Join this session designed specifically for dbt practitioners who are serious about their impact. This isn't just about code; it's about making your technical dbt work undeniably indispensable by tying it to quantifiable business value. In this interactive session you will learn: How to talk to your manager about the real ROI of your contributions, fueling your professional growth as a dbt champion How executives think about business outcomes and evaluate software Ways to directly connect the challenging work you do every day to the company's business success How leading dbt customers have already quantified their massive financial impact

What’s the big deal about Apache Iceberg anyway? "Might Iceberg solve problems for my team?" "I’m using Iceberg already, but I find it lacking in key areas!" If you have any of the above thoughts, this peer exchange is for you! Last year’s peer exchange on Apache Iceberg was standing room only given all the hype surrounding the open table format. However, when participants were asked asked when they might start testing Iceberg capabilities, most said: “wait at least a few months for the dust to settle”. So now we’re a year later, the dust has settled, adoption of Iceberg by analytics engineers continue to grow. But, there’s still some open questions and product integrations to be built. Join your peers in socially constructing knowledge that’ll inform you for the year to come and beyond!

Learn how to structure your dbt projects to enable more collaborative development without losing control. This session covers best practices for managing GitHub repos, organizing Snowflake schemas, and enabling safe, governed access to dbt models. Leave with actionable workflows your platform team can implement today to balance speed and oversight.

Learn how dbt is evolving with the next-generation engine powered by Fusion. In this hands-on session, you'll explore how Fusion improves dbt’s performance, enables richer SQL parsing, and sets the stage for future enhancements like better refactoring tools and faster development workflows. What to bring: You must bring your own laptop to complete the hands-on exercises. We will provide all the other sandbox environments for dbt and a data platform.

Join fellow practitioners for intimate roundtable discussions about modern analytics work, led by the analytics team at dbt! We'll explore career evolution, productivity tips, and project best practices. You will also get a sneak peak at how the analysts of dbt are getting value from dbt themselves.

The next-generation dbt Fusion engine brings a faster, more responsive, and more intuitive development experience to dbt. In this session, you’ll see firsthand what Fusion can do for your team. From real-time, intelligent validation of your code to state-aware runs that skip the rebuilds you don’t need, discover how Fusion helps you move faster, ship with confidence, and stay in flow.

dbt Mesh allowed for monolithic dbt projects to be broken down into more consumable and governed smaller projects. Now, learn how cross-platform mesh will allow you to take this one step further with development across data platforms using Iceberg tables. After this course you will be able to: Identify ideal use cases dbt Mesh Configure cross-project references between data platforms Navigate dbt Catalog Prerequisites for this course include: dbt Fundamentals, specifically data models and building model dependencies dbt Model governance Various data platforms What to bring: You will need to bring your own laptop to complete the hands-on exercises. We will provide all the other sandbox environments for dbt and data platform. Duration: 2 hours Fee: $200 Trainings and certifications are not offered separately and must be purchased with a Coalesce pass Trainings and certifications are not available for Coalesce Online passes

In this course, learn how to manage and monitor data platform costs using dbt's built-in tools. We’ll cover how to surface warehouse usage data, set up basic monitoring, and apply rule-based recommendations to optimize performance. You’ll also explore how cost insights fit naturally into the developer workflow—equipping you to make smarter decisions without leaving dbt. This course is for analytics engineers, data analysts, and data platform owners who have a foundational understanding of dbt and want to build more cost-effective data pipelines. Using these cost management and orchestration strategies, the internal dbt Labs Analytics team achieved significant savings: Our cloud compute bill was reduced by 9% by simply implementing dbt Fusion and state-aware orchestration. By understanding the impact of models on platform costs, the team reduced the number of models built in scheduled jobs by 35% and shaved 20% off of job execution times. After this course, you will be able to: Articulate how dbt development patterns impact data platform costs. Configure dbt Cloud to monitor warehouse compute spend. Use the dbt Cost Management dashboard to identify high-cost models and jobs. Apply specific optimization techniques, from materializations to advanced data modeling patterns, to reduce warehouse costs. Implement proactive strategies like dbt Fusion and state-aware orchestration to prevent future cost overruns. Prerequisites for this course include: dbt fundamentals What to bring: You will need to bring your own laptop to complete the hands-on exercises. We will provide all the other sandbox environments for dbt and data platform. Duration: 2 hours Fee: $200 Trainings and certifications are not offered separately and must be purchased with a Coalesce pass Trainings and certifications are not available for Coalesce Online passes

Let’s kick off Coalesce 2025 with a bang! At our opening keynote, you’ll hear how dbt is redefining data work in the age of AI. You’ll hear from dbt Labs CEO and Founder Tristan Handy for his perspective on how AI is rapidly pushing our industry forward and how the dbt Fusion engine is redefining the dbt standard. Tristan will also be joined by Fivetran CEO George Fraser as they discuss their shared vision of an open data infrastructure. dbt Labs product and technical leaders will also share the latest innovations in dbt including: how Fusion is making the development experience more efficient and intelligent than ever before, and our progress on embedded cost optimization and AI experiences designed to help our users expedite workflows while keeping costs and data quality in check. Throughout, dbt customers and partners will connect the dots between dbt’s vision and product roadmap with real-world customer outcomes. Get a front-row seat to the action. For our Coalesce Online attendees, join us on Slack in #coalesce-2025 to stay connected during keynote!

Whether it’s your first or fourth Coalesce in-person, join us for an orientation style on how to make the most out of your Coalesce. We’ll start with a quick overview and head out on a tour before ending in the Discovery Hall for our Welcome Reception and official kick off to Coalesce 2025! See you there.

dbt Canvas makes it simple for every data practitioner to contribute to a dbt project. Learn the foundational concepts of developing in Canvas, dbt's new visual editor, and the best practices of editing and creating dbt models. After this course, you will be able to: Create new dbt models and edit existing models in dbt Canvas Understand the different operators in Canvas Evaluate the underlying SQL produced by Canvas Prerequisites for this course include: Basic SQL understanding What to bring: You will need to bring your own laptop to complete the hands-on exercises. We will provide all the other sandbox environments for dbt and data platform. Duration: 2 hours Fee: $200 Trainings and certifications are not offered separately and must be purchased with a Coalesce pass Trainings and certifications are not available for Coalesce Online passes

This is the introductory course for developers jumping into dbt! We will dive into data modeling, sources, data tests, documentation, and deployment. As an instructor-led course, you’ll have the chance to learn with peers, ask questions, and get live coaching and feedback. After this course, you will be able to: Explain the foundational concepts of dbt Build data models and a DAG to visualize dependencies Configure tests and add documentation to your models Deploy your dbt project to refresh data models on a schedule Prerequisites for this course: Intermediate SQL knowledge What to bring: You must bring your own laptop to complete the hands-on exercises. We will provide all the other sandbox environments for dbt and data platform. Duration: 4 hours Fee: $400 Trainings and certifications are not offered separately and must be purchased with a Coalesce pass Trainings and certifications are not available for Coalesce Online passes

This is the introductory course for dbt Architects. Learn foundational concepts covered in the dbt Architect exam including setting up dbt projects according to best practices, manage dbt connections and environments, and leverage dbt features to enhance security, observability and cross-department collaborations After this course, you will be able to: Explain how dbt integrates with data platforms and git providers Configure environments for different git promotion strategies Manage a multi-project account in dbt. Prerequisites for this course include: dbt fundamentals What to Bring: You will need to bring your own laptop to complete the hands-on exercises. We will provide all the other sandbox environments for dbt and data platform. Duration: 4 hours Fee: $400 Trainings and certifications are not offered separately and must be purchased with a Coalesce pass Trainings and certifications are not available for Coalesce Online passes

In our recent study, an overwhelming majority—80% of respondents—reported using AI in their day-to-day workflows. This marks a significant increase from just a year ago, when only 30% were doing so.
But what about data quality? Can you trust your data?
In this session, we’ll discuss how dbt can help organizations increase trust in their data, improve performance and governance, and control costs more effectively.
dbt is widely regarded as the industry standard for AI on structured data. Its Fusion engine, with deep SQL comprehension, powers the next generation of dbt use cases.