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Cost-effective data operations (Coalesce 2025)
Delivering trusted data at scale doesn’t have to mean ballooning costs or endless rework. In this session, we’ll explore how state-aware orchestration, powered by Fusion, drives leaner, smarter pip...
Mamma mia! My data’s in the Iceberg (Coalesce 2025)
Iceberg is an open storage format for large analytical datasets that is now interoperable with most modern data platforms. But the setup is complicated, and caveats abound. Jeremy Cohen will tour ...
Unleash the power of dbt on Google Cloud: BigQuery, Iceberg, DataFrames and beyond (Coalesce 2025)
The data world has long been divided, with data engineers and data scientists working in silos. This fragmentation creates a long, difficult journey from raw data to machine learning models. We've ...
Building high-quality AI workflows with the dbt MCP Server (Coalesce 2025)
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 LLM...
What’s new in the dbt language across Core and Fusion (Coalesce 2025)
The dbt language is growing to support new workflows across both dbt Core and the dbt Fusion engine. In this session, we’ll walk through the latest updates to dbt—from sample mode to iceberg cata...
Towards a more perfect pipeline: CI/CD in the dbt Platform (Coalesce 2025)
In this session, the United Services Automobile Association will show how they integrated CI/CD dbt jobs to validate data and run tests on every merge request. Attendees will walk away with a bluep...
Analysts 2049: Redefining the role of the Analyst in the age of AI (Coalesce 2025)
In this session, you’ll learn how dbt’s Semantic Layer and MCP Server enable safe, AI-powered access to data through natural language interfaces. As business users start exploring data conversation...
7 ways Bumble reduced its tech debt and prepared for ML/AI (Coalesce 2025)
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 fo...
How Mammoth Growth built a multi-agent dbt workflow (and crushed our backlog) (Coalesce 2025)
Manual modeling is out. Multi-agent systems are in. In this session, Dylan shows how his team at Mammoth Growth paired dbt with autonomous agents to handle complex modeling tasks. The result was ...
Feature feast: Building a data buffet for models (Coalesce 2025)
Fifth Third Bank transformed its MLOps using a feature store built with dbt Cloud. The result? Improved model governance, reduced risk and faster product innovation. In this session, learn how they...
From one-off wins to org-wide impact: Scaling AI at J.Crew (Coalesce 2025)
AI isn’t just a lab experiment at J.Crew. It’s already driving results. This session unpacks how a few early wins with AI are being scaled across the company. You'll learn how to spot issues earl...
Building bridges: How Roche GTM used dbt to earn stakeholder trust (Coalesce 2025)
Building stakeholder trust through data is crucial for organizations. At Roche, we used dbt to create a transparent, robust data transformation process that helped gain confidence and increase dash...
Best practice for leveraging Amazon Analytic Services + dbt (Coalesce 2025)
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 explor...
700 users, 100 models, $20: Cribl’s blueprint for scalable AI-powered insights (Coalesce 2025)
With 700+ monthly BI users, Cribl scales self-service through governance, SDLC workflows, and smart AI practices. Join Priya Gupta and Chris Merrick to see how Git, Omni’s dbt integration, and a $2...
Build context, share insights, and make better decisions with dbt Catalog (Coalesce 2025)
Discover how dbt Catalog brings structure and clarity to your data ecosystem by turning metadata into a powerful asset. In this session, we’ll dive into how the dbt Catalog helps data teams and th...
How CHG Healthcare saved 15 months on their migration to Snowflake + dbt (Coalesce 2025)
CHG Healthcare migrated 2000+ legacy MySQL jobs to dbt Cloud and Snowflake in record time. They'll share how Datafold used their AI-powered Migration Agent to migrate and refactor convoluted lega...
Building a federated, AI-augmented data platform (Coalesce 2025)
Platform engineers from global pharmaceutical company invites you to explore our journey in creating a Cloud native, Federated Data Platform using dbt Cloud, Snowflake, and Data Mesh. Discover ho...
Embracing AI using dbt MCP Server, Kiro & Amazon Bedrock AgentCore (Coalesce 2025)
See how AI is shaping developer tools for the next generation. AWS Kiro provides a powerful general purpose IDE great for a wide variety of programming languages and tasks. Pairing Kiro with the db...
Dexcom’s journey to modernize manufacturing data analytics (Coalesce 2025)
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. T...
AI, anxiety, and the future of data teams: A playbook for real leadership (Coalesce 2025)
AI is transforming data teams - maybe you're anxious, excited, or kind of bummed. They'll share how they went from AI skeptic to enthusiast, how analytics engineering is evolving, and how data team...
Rewriting the data playbook at Virgin Media O2 (Coalesce 2025)
At Virgin Media O2, they believe that strong processes and culture matter more than any individual tool. In this talk, they’ll share how they’ve applied DevOps and software engineering principles t...
How to scale dbt across independent teams with IaC (Coalesce 2025)
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-...
Insights from Databricks & dbt Labs data leaders: Scaling reliable analytics in the AI era
The future of analytics hinges on bridging the gap between AI hype and tangible business impact. Leaders expect measurable ROI from AI initiatives, stakeholders expect instant trusted insights, and...
Chat-based analytics in Snowflake using dbt Semantic Layer and Cortex
Did you know you can bring dbt’s structured context straight into Snowflake Intelligence, and get governed answers to questions about your Snowflake data? In this demo from Chuck Frisbie, Staff So...
Data and the art of balance (The View on Data, Ep. 5)
In data, there’s always more to do. More metrics, more dashboards, more to learn. But what happens when “more” becomes too much? In this episode of The View on Data, Ric, Faith, Paige, and Jerrie ...
Talk to your data: AI-powered conversational analytics with the dbt MCP server
Ask three different chatbots for “revenue this quarter,” and you may get three different numbers. Trust erodes, adoption stalls, and your data team inherits the mess. Without shared definitions and...
Modeling for success: Building data structures that last
Poor data modeling is one of the most common and costly mistakes teams make when implementing dbt. Quick fixes and one-off designs may seem faster in the moment, but they create hidden risks: redun...
dbt MCP Server Office Hours — Integrating AI and dbt
Watch our interactive dbt Community Webinar where we explore the powerful emerging paradigm shaping AI-agentic workflows: the dbt Model Context Protocol (MCP) Server. This is your chance to dive d...
From Informatica to dbt: A migration path to an AI-ready data control plane
Legacy ETL tools weren’t built for today’s data teams. If you’re still on Informatica, you’re paying too much, moving too slow, and struggling to get your stack ready for AI. It doesn’t have to be...
Coalesce 2025 recap
Highlights from Coalesce 2025, the premier analytics engineering conference for data practitioners. Catch up on the keynotes and select breakout sessions with on-demand content. Register at https:/...
dbt Fusion engine demo (Coalesce 2025)
Elias DeFaria, product manager at dbt Labs, gives a demo of the dbt Fusion engine at Coalesce 2025. Watch on-demand all 3 keynotes and select breakout sessions from Coalesce 2025 at: https://coal...
ETL is over: Faster, smarter pipelines with dbt
Still stuck in the ETL era? You’re not alone, but the smartest teams are already moving on. Legacy ETL tools weren’t built for the cloud, and they’re holding your data team back. From bloated pipe...
The art of data-driven decision making (The View on Data, Ep. 4)
In this episode of The View on Data, hosts Faith McKenna, Paige Berry, and Erica 'Ric' Louie, along with new co-host Jerrie Kenny, explore the intricacies of data-driven decision-making, the import...
Modeling for success: Building data structures that last
Poor data modeling is one of the most common and costly mistakes teams make when implementing dbt. Quick fixes and one-off designs may seem faster in the moment, but they create hidden risks: redun...
How to build reliable AI agents with the dbt MCP Server
AI agents are evolving beyond chat, but too many still rely on raw data without the context needed for safe, scalable automation. Without structure and governance, agents hallucinate, workflows bre...
How to work smarter (not harder) in data (The View on Data, Ep. 3)
Perfectionism. Over-engineering. Spending way too much time on regex code that should’ve just been a copy-paste. In this episode of The View on Data, Faith, Ric, and Grace swap stories about the ti...
From stored procedures to dbt: Your playbook for successful migrations
Stored procedures were built for a different era. They’re often opaque, hard to maintain, and too rigid to keep up with today’s demand for fast, reliable insights. As data teams face growing pressu...
Okta + dbt
Okta, the world’s identity company, relies on dbt to power fast, trusted, and reliable decision-making across the business. By implementing dbt, Okta achieved: • Robust governance across data pipe...
Agentic coding in analytics engineering (w/ Mikkel Dengsøe)
Tristan talks with Mikkel Dengsøe, co-founder at SYNQ, to break down what agentic coding looks like in analytics engineering. Mikkel walks through a hands-on project using Cursor, the dbt MCP serve...
From COBOL Developer to Insurance Data Engineer: Brad Cronkrite (Ep 25)
In this conversation, Brad Cronkrite shares his journey from a developer to a lead data analytics engineer at Mercury Insurance. He discusses the critical role of data in the insurance industry, th...
How to unlock self-serve analytics with dbt Canvas
Data teams are increasingly expected to deliver trusted insights, fast. And that means enabling more people across the business to take part in data transformation, not just those in the IDE. In t...
From Ballet Mech Engineer, to HR Tech Data Engineer: Larissa Mendes (Ep 24)
In this episode, Bolaji interviews Larissa Mendes, a Level 3 Data Engineer at Gupy, who shares her unique journey from mechanical engineering to data engineering. Larissa discusses her experience...
From Nonprofit & Education, to Senior BI Analyst @ JustWorks: Millie Symns (Ep 23)
In this episode of Data Career Transformations, Bolaji interviews Millie Symns, a senior business intelligence analyst at JustWorks. Millie shares her journey into the data field, emphasizing the...
From Semi-Pro Baseball to Dir of Engineering @ BetterHelp: Johnathan JB Brooks (Ep 22)
In this conversation, Bolaji and JB discuss JB's journey from semi-pro baseball player to a data engineering leader at BetterHelp. They explore the balance between mental health and high-pressure e...
From Optimizing Physical Warehouses, to Optimizing FinOps Data Warehouses: Eddy Zulkifly (Ep 21)
In this episode of Data Career Transformations, Bolaji interviews Eddie Zulkifly, a senior staff data engineer at Kanaxis. They discuss Eddie's journey from chemical engineering to data engineeri...
From From Data Science & Engineering, to AI & ML Solutions Architect: Louis Guitton (Ep 20)
In this episode, Bolaji interviews Louis Guitton, an engineering leader with extensive experience in data engineering and analytics. They discuss Louis's journey from sports to data, his experience...
Under the hood of Apache Iceberg (w/ Christian Thiel)
Tristan digs deep into the world of Apache Iceberg. There's a lot happening beneath the surface: multiple catalog interfaces, evolving REST specs, and competing implementations across open source, ...
Overcoming impostor syndrome in tech (The View on Data, Ep.2)
In this episode of The View on Data, hosts Lauren Benezra, Faith Lierheimer, Erica Louie, and Paige Berry get real about a feeling so many data professionals experience but don’t always talk about—...
The dbt Fusion engine: Incremental compilation demo
Anders Swanson, Senior DX Advocate at dbt Labs, walks through one of the newest Fusion capabilities: incremental compilation. Traditional compiles in dbt Core can take several minutes for large pr...
How to use the dbt VS Code extension
The dbt VS Code extension is now in preview, bringing a hyper-fast, intelligent dbt development experience right into your editor. In this demo, we’ll show you how to: -Install the dbt extension f...