Jai discusses how Snowflake enables distributed domains and data products with dbt and showcases a customer success story with Snowflake and dbt Cloud.

Speaker: Jai Parmar, AI & ML Senior Solutions Architect, Snowflake

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dbt packages are libraries for dbt. Packages can produce information about best practice for your dbt project (ex: dbt project evaluator) and cloud warehouse cost overviews. Unfortunately, all theses KPIs are stored in your data warehouse and it can be painful and expensive to create data visualization dashboards. This application build automatically dashboards from dbt packages that you are using. You just need to parameter your dbt Cloud API key - that's it! In this session, you'll learn how.

Speaker: Adrien Boutreau, Head of Analytics Engineers , Infinite Lambda

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Learn best practices for improving your data workflows at scale. In this session, the dbt Labs team shares tactical ideas for setting up CI for the first time and shipping with confidence, as well as tips to take your implementation to the next level.

Speaker: Joel Labes, Senior Developer Experience Advocate, dbt Labs

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Siemens has been revamping how it approaches data, looking to democratize data access to unlock faster innovation. It recently rolled out Siemens Data Cloud — a data mesh with Snowflake and dbt Cloud at its heart. The goal: ensure the people closest to the business problems were empowered to self-serve responsibly, without compromising on governance or creating silos.

This is the story of how Siemens has achieved success with dbt Cloud and a data mesh — and what the future holds in store.

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TOCA Football, the largest operator of indoor soccer centers in North America, leverages accurate data to power analytics for over 30 training centers, providing everything from operational insights for executives to ball-by-ball analysis.

In 2020, the team adopted a cloud-native data stack with dbt to scale analytics enablement for the go-to-market org, including the company’s finance, strategy, operations, and marketing teams. By 2022, their lean team of four was struggling to gain visibility into the health and performance of their dbt models. So, what was the TOCA team to do? Two words: data observability.

In this talk, Sam Cvetkovski, Director, Data & Analytics discusses how TOCA built their larger data observability strategy to reduce model bloat, increase data accuracy, and boost stakeholder satisfaction with their team’s data products. She shares her biggest “aha!” moments, key challenges, and best practices for teams getting started on their dbt reliability journeys.

Speakers: Sam Cvetkovski, Director, Data & Analytics, TOCA Football; Barr Moses, Co-Founder & CEO, Monte Carlo

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In this session, the team at Rocket Money explains how they built a Quote-to-Cash (Q2C) system in dbt Cloud that the accounting team uses for end-of-month close. This was also used to pass Rocket Money's first SOX audit with zero deficiencies. The presentation will review how the team gathered requirements (for different products, payment providers, etc.) and built and tested all of their models.

Speaker: Amber Oar, Staff Analytics Engineer, Rocket Money

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In this session, Vida Health’s senior director of data, mobile, and web engineering shares a story that can help other data and business leaders capitalize on the opportunities being created by current technology innovations, market realities, and real-world problems. This includes a playbook on how Vida Health uses modern data technologies like dbt Cloud, Fivetran, Looker, BigQuery, BigQueryML/dbtML, Vertex AI, LLMs, and more to put data in the driver’s seat to solve meaningful problems in complex industries like healthcare.

Speaker: Trenton Huey, Senior Director, Data and Frontend Engineering, Vida Health

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This session shares Rivian’s journey building an analytics ecosystem from scratch over the last two years, centered around dbt and dbt Cloud. Through this work, Rivian is driving towards a healthy data mesh that links data and developers across many domains at the company, to enable rapid growth and value as they ramp to produce their new fleet of EVs and keep the world adventurous.

Speakers: Will Bishop, Manager, Data Science Analytics, Rivian

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Fanduel, America's leading sports betting company, migrated all of its data pipelines to integrate with dbt Cloud in order to make data transformation processes more reliable, scalable, and maintainable.

In this presentation, the Fanduel team shares the challenges faced during the migration, including overcoming the inertia of established data infrastructure, integrating with legacy systems, and ensuring a smooth transition without disrupting ongoing data operations. The migration process fostered newfound collaboration among data analysts, product owners, and engineers, with the added benefit of accommodating future business needs.

Speakers: Phillip Tan, Technical Program Manager, Fanduel; Michael Lee, Senior Data Engineer, Fanduel; Harry Williams, Senior Data Engineer, FanDuel

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During the data team's short tenure (2.5 years) at ClickUp, they have built and scaled a fully modern data stack and implemented a warehouse-first data strategy. ClickUp's data is comprised of thousands of dbt models and upstream/downstream integrations with nearly every software at ClickUp. ClickUp uses dbt Cloud and Snowflake to power dozens of downstream systems with audience creation, marketing optimization, predictive customer lifecycle ML, a PLG/PLS motion, and much more. This session covers the foundational principles ClickUp follows and how warehouse-first thinking has unlocked tremendous value for ClickUp.

Speakers: Marc Stone, Head of Data, ClickUp

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Continuous Integration (CI) in dbt Cloud makes it easy to test every change you make prior to deploying. It’s a hallmark of mature analytics workflows. We’ve made some major improvements to dbt Cloud CI, so it’s easier than ever to prevent breaking changes, save on costs, and keep those pesky stakeholders happy.

Join the dbt Labs product team on this magical journey to a world of better data quality, and see for yourself what CI can do for you.

Speaker: Grace Goheen, Product Manager, dbt Labs

Register for Coalesce at https://coalesce.getdbt.com

Join Ryan Dolley and Jan Soubusta for a journey into the world of end-to-end analytics pipelines and how they can be a data engineer's best friend.

Learn how to automate boring tasks and create a safe haven for data engineers using the dynamic duo: dbt for transformative magic and GoodData for analytics awesomeness.

Combined with an data extraction and orchestration tools, you form the Voltron of easy to automate end-to-end analytics flows bringing data from source systems all the way through BI and to your end users.

And don't miss the grand finale where they reveal an alternative deployment on dbt Cloud that's so easy to orchestrate your coffee mug could do it. Prepare to laugh, learn, and level up your data game!

Speakers: Ryan Dolley, VP of Product Strategy, GoodData; Jan Soubusta, Distinguished Software Engineer, GoodData

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dbt has been adopted as an industry standard, now used by more than 25,000 organizations. For larger companies with more complex deployments, however, it can still be a challenge to sustain efficient collaboration around data development without sacrificing governance. Here is how dbt Cloud is helping to overcome that challenge.

Speakers: Jeremy Cohen, Product Manager, dbt Labs; Cameron Afzal, Product Manager, dbt Labs

The Lakehouse architecture unites the structured world of analytics with the rapidly evolving world of AI.

But what really makes something a “Lakehouse” and why should you care? In this session, Databricks discusses the key components of a lakehouse, what you should look for when adapting this paradigm and how Databricks and dbt are together enabling analytics engineers, analysts and data scientists to collaborate together on a single unified platform. You’ll hear from a customer about how they leveraged dbt Cloud on Databricks to deliver powerful customer experiences quickly and efficiently. Ken Wong shares the latest capabilities of Databricks platform and provides a sneak peek of upcoming features.

Speakers: Ken Wong, Senior Director of Product Management, Databricks; Samuel Garfield, Analytics Engineer, Retool

Register for Coalesce at https://coalesce.getdbt.com

Learn how dv01 uses dbt Cloud and BigQuery to create a scalable and modern data pipeline for offerings in loan warehousing analytics. These products serve an esoteric niche of finance and are run by a team of financial analysts with deep industry expertise.

With the challenge of tracking the performance of millions of loans from various sources and file structures, the team initially relied on Excel-based workflows. However, as the client base grew, they needed a reliable solution: a scalable data pipeline with dbt Cloud and BigQuery that allows the team to scale into a growing market and provide innovative new products and services.

Explore the transformative power of dbt Cloud in modernizing unscalable data processes, fostering skill development, and driving success in the specialized world of loan warehousing finance.

Speaker: David Maguire, Data Engineer, dv01

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In this session, gain strategic guidance on how to deploy dbt Cloud seamlessly to a team of 5-85 people. You'll learn best practices across development and automation that will ensure stability and high standards as you scale the number of developers using dbt Cloud and the number of models built up to the low thousands.

This session is a great fit for folks with beginner through intermediate levels of experience with dbt. In basketball terms, this talk covers mid-range shooting skills, but does not go into detail about 3-pointers, let alone half court shots. Likewise, this talk is not for people who are brand new to dbt and aren't familiar with the basic architecture of dbt and the modern data stack.

Speakers: Chris Davis, Senior Staff Engineer, Udemy, Inc.

Register for Coalesce at https://coalesce.getdbt.com

In the dbt Labs on dbt series, you get a behind-the-scenes look at how dbt Labs uses data. You’ll learn how dbt Labs thinks about the role of data, how data developers collaborate with business leaders, and the technical decisions we’ve made in our own dbt project.

In this session, Brandon Thomson, Analytics Lead at dbt Labs, digs deeper into the technical details of the Campaign 360, a powerful marketing analytics asset used by every member of the marketing team. You'll learn about the technical decisions made during the build of this product and explore the finished asset.

Join this session to learn about dbt Labs' journey and leave with ideas that you can implement in your dbt project today.

Speaker: Brandon Thomson, Analytics Lead, dbt Labs

Register for Coalesce at https://coalesce.getdbt.com

In the dbt Labs on dbt series, you get a behind-the-scenes look at how dbt Labs uses data. You’ll learn how dbt Labs thinks about the role of data, how data developers collaborate with business leaders, and the technical decisions we’ve made in our own dbt project.

In this session, Elize Papineau, Senior Data Engineer at dbt Labs, digs deeper into the technical details of the cost optimization project at dbt Labs. You'll learn how the team leveraged query tags in dbt to make model performance monitoring possible, the process for analyzing model performance, the implementation of warehouse specific configurations at the model level, and how the team measures the effectiveness of optimizations and translates it into cost savings.

Watch to learn about dbt Labs' journey and leave with ideas that you can implement in your dbt project today.

Speaker: Elize Papineau, Sr. Data Engineer, dbt Labs

Register for Coalesce at https://coalesce.getdbt.com

This session addresses the problem of how to leverage dbt Cloud to support domain user development for a migration from a centralized analytics environment towards a distributed data mesh analytics environment.

Speaker: Holly Burch, Data Architect, Sharp HealthCare

Register for Coalesce at https://coalesce.getdbt.com

In this session, Jeremy Cohen, product manager at dbt Labs, does an in-depth walk-through of the new dbt Cloud releases shared on-stage during the Keynote & Product Spotlight. This session focuses on changes to the dbt Cloud IDE and new ways to develop with dbt.

Wherever you write code, see the future of dbt development in action.

Speakers: Jeremy Cohen, Product Manager, dbt Labs; Greg McKeon, Product Manager, dbt Labs

Register for Coalesce at https://coalesce.getdbt.com

In the rapidly evolving landscape of data technology, the integration of Snowflake and dbt has revolutionized the creation and management of data applications. Now, developers can harness their combined capabilities to build superior, scalable, and sophisticated data applications.

With Snowflake’s cloud-based architecture, developers can access boundless storage, computing, and seamless data sharing. Additionally, Snowpark Python enables the performance of data transformation, analytics, and algorithmic functions within Snowflake, presenting developers with a new realm of opportunities. Incorporating dbt further enhances the synergy, allowing developers to streamline data workflows in an agile, model-driven environment.

This session covers how the Snowflake and dbt partnership can pave the way toward building better, future-proof data applications that cater to the dynamic needs of businesses in the digital era.

Speaker: Tarik Dwiek, Head of Technology and Application Partners, Snowflake

Register for Coalesce at https://coalesce.getdbt.com

A significant proportion of dbt Cloud users do not have a dbt CI job set up. Among those who do, many don’t leverage powerful functionality like state comparison and deferral to implement Slim CI, likely causing teams to miss errors and building unnecessary tables. Setting up Slim CI in dbt Cloud can be especially challenging for larger-scale data organizations who have multiple data environments, git branches, and targets. Watch this session to learn how you can build and evolve a strong, lasting data environment using Slim CI.

Speakers: Leo Folsom, Solutions Engineer, Datafold

Register for Coalesce at https://coalesce.getdbt.com

In this session, phData talks through their experiences dealing with migrations: how to plan for one, how to handle refactoring code, and the difficulty of auditing. This session is especially helpful for organizations that are looking to transition to dbt Cloud, as it provides helpful tips for laying the foundations for a new system and doing the migration right.

Speakers: Dakota Kelley, Solution Architect, phData; Chris Johnson, Solutions Architect, phData

Register for Coalesce at https://coalesce.getdbt.com

Business processes are the foundation of any organization, directing entities towards achieving specific outcomes. These processes can be simple or complex and may take days or even months to complete. Insights into business processes can be determined through three categories: occurrence, volume, and velocity.

In this presentation, Routable’s Director of Data & Analytics discusses the technical and process complexities involved in creating data models in a data warehouse using dbt Cloud. The session also provides tips to make the process easier and explains how to expose this data to users using Looker.

Speaker: Jason Hodson, Director, Data & Analytics, Routable

Register for Coalesce at https://coalesce.getdbt.com

In this session, you'll learn about Rebtel's migration journey from a legacy architecture to the modern data stack. Due to the challenges of Rebtel's stack, the data product value was decreasing in the company, it was time to migrate. Learn how the team is using dbt Cloud and Snowflake to achieve greater success in delivering value to the business. You'll leave with a richer understanding of how to plan and execute a legacy migration.

Speaker: Quentin Coviaux, Data Engineer, Rebtel

Register for Coalesce at https://coalesce.getdbt.com