Hear from Red Ventures about how through the creation of standard implementation playbooks, their data team is able to quickly roll out modern tools like dbt and Hightouch across businesses to drive growth.

Speakers: Tejas Manohar, cofounder/co-CEO, Hightouch; Brandon Beidel, Director of Data Engineering, Red Ventures

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

Join the team from Moody's Analytics as they take you on a personal journey of optimizing their data pipelines for data quality and governance. Like many data practitioners, Ryan and Ravi understand the frustration and anxiety that comes with accidentally introducing bad code into production pipelines—they've spent countless hours putting out fires caused from these unexpected changes.

In this session, Ryan and Ravi recount their experiences with a previous data stack that lacked standardized testing methods and visibility into the impact of code changes on production data. They also share how their new data stack is safeguarded by Datafold's data diffing and continuous integration (CI) capabilities, which enables their team to work with greater confidence, peace of mind, and speed.

Speakers: Gleb Mezhanskiy, CEO, Datafold; Ravi Ramadoss, Director of Data Engineering, Moody's Analytics CRE; Ryan Kelly, Data Engineer, Moody's Analytics CRE

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

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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Traditional data warehouses excel at churning through terabytes of data for historical analysis. But for real-time, business-critical use cases, traditional data warehouses can’t produce results fast enough—and they still rack up a huge bill in the process.

So when Ramp’s data engineering team needed to serve complex analytics queries on the critical path of their production application, they knew they needed a new tool for the job. Enter Materialize, the first operational data warehouse. Like a traditional data warehouse, Materialize centralizes the data from all of a business’s production systems, from application databases to SaaS tools. But unlike a traditional data warehouse, Materialize enables taking immediate and automatic action when that data changes. Queries that once took hours or minutes to run are up-to-date in Materialize within seconds.

This talk presents how Ramp is unlocking new real-time use cases using Materialize as their operational data warehouse. The best part? The team still uses dbt for data modeling and deployment management, just like they are able to with their traditional batch workloads.

Speakers: Nikhil Benesch, CTO, Materialize; Ryan Delgado, Staff Software Engineer, Data Platform, Ramp

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

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

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

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

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

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

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

With dbt and the modern data stack, onboarding and surfacing data has never been more manageable for analytics engineers. Still, 85% of data products never make it into production. Why do data practitioners struggle to create data products that engage the people who actually use them?

Join Jake and Nate as they discuss how integration and collaboration can drive user engagement, ultimately leading to increased adoption. They’ll present guiding principles and three real world examples of data products designed to center and empower business users to: - Replace the need for seeds using materialized Sigma input tables - Create and manage HubSpot contacts and segments using Sigma’s HubSpot template - Sync insights from Sigma directly to downstream systems using the Hightouch integration.

The lessons learned from building a data platform at Sigma will provide everyone a framework for fostering collaboration between data teams and business users so they can raid insights, move up the leaderboard, and level up their gameplay no matter what data stack they use.

Speakers: Nate Meinzer, Director of Partner Engineering, Sigma Computing; Jake Hannan, Senior Manager, Data Platform, Sigma Computing

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

In this session, Yijun Cao and Dakota Kelley highlight how dbt plays a key role in MuleSoft’s modern data analytics framework. As MuleSoft continues to grow, the data platform engineering team encountered some challenges with the data transformations. The session dives deeper into the specific challenges faced by the team and demonstrates how dbt’s features including CI/CD, testing, documentation and lineage help overcome these challenges.

Speakers: Yijun Cao, Data Platform Engineer, Salesforce; Dakota Kelley, Solution Architect, phData

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

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

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

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

Leveraging the power of RudderStack and dbt, Canadian Football League’s (CFL) data team abstracts the complexity of data in the warehouse and provides their marketing team with highly targeted audiences across a large variety of platforms and data sources. During this session we’ll hear how CFL went from manually sharing CSV files to modeling targeted segments, directly focused on OKRs, in their warehouse.

Speakers: Eric Dodds, Head of Product Marketing, RudderStack; Dave Musambi, Sr. Director, Business Intelligence, Canadian Football League

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

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

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

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

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

Seven years ago, in the early days of dbt, dbt Labs was building capabilities that made data developers more productive. dbt gained traction. It took off. Today, dbt is the standard for data transformation. It has never been easier to build and ship data products. This has created a new challenge – complexity.

Drew Banin, Co-Founder and Product Manager at dbt Labs, and Michelle Ark, former dbt power user who is now a Staff Software Engineer at dbt Labs, share the latest releases in dbt and how they help organizations navigate complexity.

Speakers: Drew Banin, Co-Founder, dbt Labs; Michelle Ark, Staff Software Engineer, dbt Labs

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

In this session, learn how Prime Therapeutics' data team was able to implement dbt for multiple teams and environments in a highly-controlled way without compromising security or performance. With multiple teams and environments, it was essential to manage and maintain consistent policies across environments while helping share best practices to improve their dbt implementations.

Speakers: Jill Aakhus, Principal Analytics Engineer, Prime Therapeutics; Anubhav Pareek, Data Analytics Engineer, AICG

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

Take a look at how the finance data team at Snowflake leverages dbt to drive strategic decision-making within the finance and accounting organizations. This talk spans topics including development velocity, cost governance, and data stewardship.

Speakers: Sandra Herchen, Analytics Engineering Manager, Snowflake; Jack Peele, Business Intelligence Analyst, Snowflake

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