As organizations increasingly adopt modern data stacks, the combination of dbt and AWS Analytics services emerged as a powerful pairing for analytics engineering at scale. This session will explore proven strategies and hard-learned lessons for optimizing this technology stack to use dbt-athena, dbt-redshift, and dbt-glue to deliver reliable, performant data transformations. We will also cover case studies, best practices, and modern lakehouse scenarios with Apache Iceberg and Amazon S3 Tables.

AI is transforming data teams - maybe you're anxious, excited, or kind of bummed. I'll share how I went from AI skeptic to enthusiast, how analytics engineering is evolving, and how data teams can finally deliver on promises we've been making for years.

In this session we will cover the strategic and intentional tools that Workday took a bet on to create a true AI focused roadmap for data and analytics. You’ll learn about the strategy, alignment, tooling, and architecture put in place, covering both the journey & the technology.

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 for your certification, you will not be refunded

Come see how dbt empowers teams to harness Apache Iceberg and Snowflake Open Catalog for reliable, scalable, and agile analytics pipelines

Modern data teams are tasked with bringing AI into the analytics stack in a way that is trustworthy, scalable, and deeply integrated. In this session, we’ll show how the dbt MCP server connects LLMs and agents to structured and governed data to power use cases for development, discovery, and querying.

Self-serve analytics promises speed. But without clear guidance, it often leads to hidden obstacles like cluttered dashboards, runaway costs, and a loss of trust in the data. Add AI to the mix, and those faults become fractures. In this session, we'll unpack why self-serve efforts stall, with lessons from real-world teams at Shopify and Tableau. We’ll also explore how BetterHelp uses dbt alongside Euno’s lineage and usage insights to declutter, cut compute costs, and determine which data assets and reports teams (and AI agents) can trust.

Teams across industries spend countless hours every week, month, and quarter creating data-driven slide decks and documents for leadership reviews, business updates, and client reporting—even though the data lives in their BI tools. This “last mile” of data reporting remains highly manual, repetitive, and a drain on strategic bandwidth. In this session, we’ll share how leading companies are automating this process with Rollstack: Sony Music’s The Orchard streamlines leadership business reviews and scales reporting across its network of labels, enabling its lean Analytics team to focus on insights instead of slide production. CarGurus empowers its Customer Success teams to scale client QBR reporting, ensuring consistent, reliable outputs while saving hours of manual work. Join us to see how these organizations are transforming reporting workflows and giving their teams more time to focus on decisions that move the business forward—instead of being stuck as PowerPoint jockeys.

Learn how a small team at Dexcom used dbt to unify hundreds of global manufacturing data tables into 30 analytics-ready models—delivering sub-15-minute freshness and complex processing at scale. The result: faster, smarter manufacturing decisions that support the timely delivery of technology that has transformed how people manage diabetes and track their glucose.

Merging two large organizations with different tools, teams, and data practices is never simple. At Virgin Media O2, we used dbt to help bring consistency to that complexity, building a hybrid data mesh that supported self-serve analytics across domains. In this session, we’ll share how we gave teams clearer ownership, put governance in place using dbt, and set up secure data sharing through GCP’s Analytics Hub. If you’re working in a federated or fast-changing environment, this session offers practical lessons for making self-serve work at scale.

Step into a dynamic, interactive session where you'll experience the data transformation journey from multiple angles: Data Engineer, Manager, Analytics VP, and Chief Data Officer. This immersive tabletop exercise isn’t your typical panel or demo—it’s a high-empathy, scenario-driven experience designed to build cross-role understanding and alignment across the modern data stack. Each scene drops you into a real-world challenge—whether it's data trust issues, managing cost pressures, or preparing for an AI initiative—and forces a go/no-go decision with your peers. You’ll explore how your choices impact others across the org, from the technical trenches to the boardroom. Whether you're a practitioner, leader, or executive, this session will help you see data not just as pipelines and dashboards, but as a 360-degree opportunity to drive business change. Walk away with a clear picture of the capabilities your team needs (without naming products) and a roadmap for building champions across your org.

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

How do you deliver a modern, governed analytics stack to dozens of independent and competing companies, each with their own priorities, budgets, and data platforms? SpareBank 1 built a platform-as-a-service using Infrastructure as Code to provision dbt environments on demand. This session shares how SB1 modernized legacy data warehouses and scaled dbt across a network of banks, offering lessons for any organization supporting multiple business units or regions.

Setting up a dbt project the right way ensures maintainability, scalability, and efficiency. Learn how Bumble uses dbt to reduce tech debt and lay the foundation not only for analytics, but also for machine learning and data products.

• Mat-adata Yoga is currently full * If you are still interested in this class, complete THIS FORM to be added to the waitlist. The Coalesce team will be in touch via email if a spot opens up. Start your Coalesce day by untangling more than just your joins. In this structured yoga flow, we’ll stretch out the tension that’s been building from waiting on AI analytics to actually work. Just like data teams use Euno to unlock the power of the metadata they already have for governance and AI, this session will surface the strength you didn’t realize you’ve been storing. No yoga experience (or data catalog) required. Just bring yourself and a willingness to commit a few commits to your own wellbeing. As our guru/CEO likes to say: clear mind, clear context. Hosted by Euno 💜

The future of AI is here. Join AI and data industry thought leader Ashley Kramer from OpenAI as she shares how AI-powered development and intelligent systems act as force multipliers for organizations—and how to confidently embrace these accelerants at scale. In the second half of the keynote, she'll be joined by a panel of product leaders from across the data stack for a discussion on the future of analytics in an AI-driven world and how dbt and ecosystem partners are innovating to rewrite what’s possible: turning yesterday's science fiction into today's reality. For our Coalesce Online attendees, join us on Slack in #coalesce-2025 to stay connected during keynote!

Learn how Ericsson’s Enterprise Wireless Solutions team modernized its analytics stack, replacing legacy tools like Alteryx and ThoughtSpot with scalable, modular data models powered by the dbt platform. With a lean team, we tackled SOX compliance, streamlined operations, and expanded from internal analytics to external analytics. Now we're starting to use the new dbt Fusion engine to accelerate development and more tightly manage costs. Find out how we climbed from legacy limitations to enterprise-grade analytics performance.

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.

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!

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

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.

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.

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.