Get certified at Coalesce! Choose from two certification exams: The dbt Analytics Engineering Certification Exam is designed to evaluate your ability to: Build, test, and maintain models to make data accessible to others Use dbt to apply engineering principles to analytics infrastructure We recommend that you have at least SQL proficiency and have had 6+ months of experience working in dbt (self-hosted dbt or the dbt platform) before attempting the exam. The dbt Architect Certification Exam assesses your ability to: Design secure, scalable dbt implementations, with a focus on environment orchestration Role-based access control Integrations with other tools Collaborative development workflows aligned with best practices What to expect Your purchase includes sitting for one attempt at one of the two in-person exams at Coalesce You will let the proctor know which certification you are sitting for Please arrive on time, this is a closed-door certification, and attendees will not be let in after the doors are closed What to bring You will need to bring your own laptop to take the exam Duration: 2 Hours Fee: $100 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 If you no-show your certification, you will not be refunded

We transformed our entire stack to turn data into a competitive asset for our team and clients—going from scattered SQL scripts to a governed, scalable, AI-enabled architecture. Learn how we eliminated silos and standardized logic to create a data-forward culture with dbt as our transformation backbone.

AI is reshaping every stage of the analytics process. And at Docusign, that transformation is already underway. The data team is using AI to boost data quality, save engineers time, and deliver insights business users can actually trust. This session takes you end to end, from automated unit tests to governed metrics, showing how Docusign connects AI-driven development with self-serve analytics powered by the dbt Semantic Layer. The result: faster delivery, fewer surprises, and smarter decisions across the org.

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.

Discover how Workday built an AI-powered self-service analytics platform that doesn't compromise on governance using Lightdash. We'll discuss concrete strategies for transforming your data organization from a bottleneck into a competitive advantage, backed by real implementation insights.

Siemens Data Cloud runs over 1500 dbt Platform projects across teams and domains. But more projects can mean more silos and less visibility. Because dbt is designed to be project-scoped, getting a birds-eye view isn’t easy. That’s where the dbt Platform Admin API comes in. We’ll show how we used it to extract metadata and build a unified monitoring dashboard. You’ll learn how to track deployments, spot anomalies, and compare project health across your dbt landscape.

Discover how to turn your customer data into actionable insights using Generative AI. In this session, you'll see how Fivetran and dbt make it easy to prepare data from platforms like HubSpot and Zendesk, and how to use that data to power a Gen AI app that answers your business questions in real time.

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.

In the last few months, I’ve been working hard to onboard new data and analytics engineers. Along the way, I’ve learned which parts of dbt and dbt Cloud are hard to teach, what confuses people, and where tools or training fall short. I’d like to swap ideas and hear how others are handling this.

Explore the growing dbt and Tableau partnership. Learn how integrations enhance the modern analytics stack, streamline workflows, and provide accurate, actionable insights with strong data governance.

Okta is rebuilding its data platform, moving from disconnected pipelines to a scalable, well-governed foundation with Snowflake and dbt. In this session, you’ll learn how we improved CI/CD, enabled self-service, and are now testing a prototype to make dbt models ready for AI.

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.

A leading life sciences company discovered the hidden cost of disconnected tools when it was locked into an expensive, vertically-focused data integration platform. Find out how the company consolidated its data activation workflow (ELT and reverse ETL) on a unified platform with Airbyte connected to dbt.

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

Escape the buzz and discover a quiet space to meditate, stretch, and recharge—leaving you centered and refreshed. Please leave your laptops, meetings, and phone calls at the door.

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!

Building and managing data transformation pipelines can be complex and costly. In this session, discover best practices for creating scalable, cost-efficient pipelines--and let your team can focus on insights, not maintenance.

More information coming soon