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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Over the past four years, the data team at EQT has leveraged dbt and Snowflake to create a myriad of data products across the company. With a rapidly growing organization and increased demands for timely and accurate data, their immense monolithic dbt repository has become challenging to maintain. Learn about the best practices they are adopting to keep the platform in shape and scale with the business.

Speaker: Erik Lehto, Senior analytics engineer, EQT

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The team at nib Health has internal projects that contain standardized packages for running a dbt project, such as pipeline management, data testing, and data modeling macros. In this talk, they share how they utilized the yaml documentation files in dbt to create standardized tagging for both data security (PII), project tags, and product domain tags that get pushed into Snowflake, Immuta, and Select Star.

Speaker: Pip Sidaway, Data Product Manager, nib

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Learn about Watercare's journey in implementing a modern data stack with a focus on self serving analytics in the water industry. The session covers the reasons behind Watercare's decision to implement a modern data stack, the problem of data conformity, and the tools they used to accelerate their data modeling process. Diego also discusses the benefits of using dbt, Snowflake, and Azure DevOps in data modeling. There is also a parallel drawn between analytics and Diego’s connection with jazz music.

Speaker: Diego Morales, Civil Industrial Engineer, Watercare

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Domain is powered by data. Every team at Domain relies on insights from the data team to make quick, effective decisions for the business. Learn how Domain data innovated the way they use Snowflake as the central processing engine to power the product and tech team and save time for everyone, which leads to tangible business impact.

Speakers: Reuben Francis, Data Engineer, Domain; Alex Rong, Senior Data Engineer, Domain

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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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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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It’s 2023, why are software engineers still breaking analytics reporting? We’ve all been there, being alerted by an analyst or C-level stakeholders, saying “this report is broken”, only to spend hours determining that an engineer deleted a column on the source database that is now breaking your pipeline and reporting.

At Xometry, the data engineering team wanted to fix this problem at its root and give the engineering teams a clear and repeatable process that allowed them to be the owners of their own database data. Xometry named the process DPICT (data pipeline contract) and built several internal tools that integrated seamlessly with their developer’s microservice toolsets.

Their software engineers mostly build their database microservices using Postgres, and bring in the data using Fivetran. Using that as the baseline, the team created a set of tools that would allow the engineers to quickly build the staging layer of their database in the data warehouse (Snowflake), but also alert them of the consequences of removing a table or column in downstream reporting.

In this talk, Jisan shares the nuts and bolts of the designed solution and process that allowed the team to onboard 13 different microservices seamlessly, working with multiple domains and dozens of developers. The process also helped software engineers to own their own data and realize their impact. The team has saved hundreds hours of data engineering time and resources not having to chase down what changed upstream to break data. Overall, this process has helped to bring transparency to the whole data ecosystem.

Speaker: Jisan Zaman, Data Engineering Manager, Xometry

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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

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The Guild team migrated to Snowflake and dbt for their data warehousing needs and immediately saw the benefits of standardizing model structure, DRYer logic, data lineage ,and automated testing on Pull Requests.

But leveraging dbt didn’t solve everything. Pain points around maintaining model logic, handling historical data, and integrating data from over 60 source systems meant that analysts still struggled to provide a unified view of the business. The team knew that they needed to level up their processes and modeling again, and chose to adopt Data Vault (DV).

Brandon and Rebecca take you behind the scenes of this decision to explain the benefits of Data Vault. They highlight DV’s ability to handle complex data integration requirements while remaining agile and demonstrate that it complements other modern data concepts like domain-driven design and data mesh.

Attendees learn what Data Vault is, when it can be a key component of a successful data strategy, and instances where it’s not the right fit. Walk away with practical tips to successfully transition based on a real-world implementation.

Guild transformed their data warehouse; you can too!

Speakers: Brandon Taylor, Senior Data Architect, Guild; Rebecca Di Bari Staff Data Engineer , Guild

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Prioritizing the right sales opportunities is pivotal for any SaaS company's growth, but what happens after your initial success? Jessica Zhang, Data Science Manager at Notion, traces Notion's footsteps from its foundational days to its present-day lead scoring techniques. Learn how modern tools like dbt, Census, and Snowflake enable the Notion team to iterate quickly. More than a journey, this session is a lesson on evolving a data science model in response to changing business assumptions and fresh user insights.

Speakers: Jessica Zhang, Data Science Manager, Notion; Jeff Sloan, Sr. Data Community Advocate, Census

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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

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Now that you can write models in Python, a new world of possibility has opened up. In this session, Christopher Marland introduces you to Snowpark and how it integrates with dbt, before demonstrating a real-world use case where Python transformations outperform SQL, starting from raw data and moving through to a completed analysis.

This talk is ideal for people who are familiar with PySpark but new to dbt, or who are experienced dbt users and curious about taking advantage of their new Pythonic superpowers from inside of a familiar development environment.

Speaker: Christopher Marland, Snowflake Solutions Architect, Aimpoint Digital

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Learn how ClickUp uses dbt, dbt packages, and Snowflake to save on storage and compute costs using Slim CI and how they empower a data warehouse centric culture across Sales, Marketing, Product Growth, Finance, and RevOps all while maintaining one monolithic dbt build job.

Speaker: Michael Revelo, Data Platform Lead , ClickUp

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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

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Join Snowflake & Deloitte as they discuss how organizations can become exponential enterprise ready through the power of the Snowflake Data Cloud and dbt Cloud's ability to write, test, and ship reliable data in quick time. This session updates you on what your organization needs to do to become exponential enterprise ready. This session also shares examples of organizations that have already made the successful transformation and why they are winning in the market with dbt, Deloitte and Snowflake.

Speakers: Mathew Zele, Cloud & ISV Lead, Snowflake; Vivek Pradhan Lead Partner - Data and AI Platforms , Deloitte; Sagar Kulkarni Partner Sales Engineer, Snowflake

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