Let’s kick off Coalesce 2025 with a bang! At our opening keynote, you’ll hear how dbt is redefining data work in the age of AI. You’ll hear from dbt Labs CEO and Founder Tristan Handy for his perspective on how AI is rapidly pushing our industry forward and how the dbt Fusion engine is redefining the dbt standard. Tristan will also be joined by Fivetran CEO George Fraser as they discuss their shared vision of an open data infrastructure. dbt Labs product and technical leaders will also share the latest innovations in dbt including: how Fusion is making the development experience more efficient and intelligent than ever before, and our progress on embedded cost optimization and AI experiences designed to help our users expedite workflows while keeping costs and data quality in check. Throughout, dbt customers and partners will connect the dots between dbt’s vision and product roadmap with real-world customer outcomes. Get a front-row seat to the action. For our Coalesce Online attendees, join us on Slack in #coalesce-2025 to stay connected during keynote!

Organizations have hundreds of data sources, some of which are very niche or difficult to access. Incorporating this data into your lakehouse requires significant time and resources, hindering your ability to work on more value-add projects. Enter the Fivetran Connector SDK- a powerful new tool that enables your team to create custom pipelines for niche systems, custom APIs, and sources with specific data filtering requirements, seamlessly integrating with Databricks. During this session, Fivetran will demonstrate how to (1) Leverage the Connector SDK to build scalable connectors, enabling the ingestion of diverse data into Databricks (2) Gain flexibility and control over historical and incremental syncs, delete capture, state management, multithreading data extraction, and custom schemas (3) Utilize practical examples, code snippets, and architectural considerations to overcome data integration challenges and unlock the full potential of your Databricks environment.

Dropbox, a leading cloud storage platform, is on a mission to accelerate data insights to better understand customers’ needs and elevate the overall customer experience. By leveraging Fivetran’s data movement platform, Dropbox gained real-time visibility into customer sentiment, marketing ROI, and ad performance-empowering teams to optimize spend, improve operational efficiency, and deliver greater business outcomes.Join this session to learn how Dropbox:- Cut data pipeline time from 8 weeks to 30 minutes by automating ingestion and streamlining reporting workflows.- Enable real-time, reliable data movement across tools like Zendesk Chat, Google Ads, MySQL, and more — at global operations scale.- Unify fragmented data sources into the Databricks Data Intelligence Platform to reduce redundancy, improve accessibility, and support scalable analytics.

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

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

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

In this session, you'll learn tips and tricks from La-Z-Boy on how to modernize infrastructure and tackle complex retail and manufacturing data problems using dbt and Fivetran. Hear from a data leader about their experience and how you can replicate their success. Start your session off with some comfortable data movements to make sure you can extract as much information as possible from our loaded session on data transformation.

Speakers: Alex Hauer, Lead Product Marketing Manager, Fivetran; Selwyn Samuel, Director of Data Analytics & Enterprise Architecture, La-Z-Boy

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

The Fivetran Analytics Engineering team strives to make its dbt packages multi-faceted enough and functional for the majority of data teams, balancing flexibility against ease of implementation. This means that the packages should get you 80% of the way there out of the box, but you're not alone as you cover the final 20%!

Over the years, the team has further developed its understanding of the nuances of analyses and developed different methods for folks to easily tweak packages to their liking. This session will discuss passthrough columns, union macros, and overriding package models, and will teach you how to use these features to make Fivetran's packages work for you or even leverage the same patterns in your own work.

Speaker: Jamie Rodriguez, Senior Analytics Engineer, Fivetran

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

Would you like to know how one of the largest online business insurance organizations in Australia saves 36-72 engineering hours per connector? Watch this session to see how you can influence your business to make quicker and more accurate insights into key business metrics.

Speakers: Alexandra Coffey, Account Executive, Fivetran; Jimmo Vink, Head of Information Management, BizCover

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

In this video you will learn how to use Fivetran to ingest data from Salesforce into your Lakehouse. After the data has been ingested, you will then learn how you can transform your data using dbt. Then we will use Databricks SQL to query, visualize and govern your data. Lastly, we will show you how you can use AI functions in Databricks SQL to call language learning models.

Read more about Databricks SQL https://docs.databricks.com/en/sql/index.html#what-is-databricks-sql

Many organizations rely on complex cloud data architectures that create silos between applications, users and data. This fragmentation makes it difficult to access accurate, up-to-date information for analytics, often resulting in the use of outdated data. Enter the lakehouse, a modern data architecture that unifies data, AI, and analytics in a single location.

This session explores why the lakehouse is the best data warehouse, featuring success stories, use cases and best practices from industry experts. You'll discover how to unify and govern business-critical data at scale to build a curated data lake for data warehousing, SQL and BI. Additionally, you'll learn how Databricks SQL can help lower costs and get started in seconds with on-demand, elastic SQL serverless warehouses, and how to empower analytics engineers and analysts to quickly find and share new insights using their preferred BI and SQL tools such as Fivetran, dbt, Tableau, or Power BI.

Talk by: Miranda Luna and Cyrielle Simeone

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

As the data landscape evolves, organizations are seeking innovative solutions that provide enhanced value and scalability without exploding costs. In this session, we will explore the exciting frontier of the Modern Data Stack on Databricks Lakehouse, a game-changing alternative to traditional Data Cloud offerings. Learn how Databricks Lakehouse empowers you to harness the full potential of Fivetran, dbt, and Tableau, while optimizing your data investments and delivering unmatched performance.

We will showcase real-world demos that highlight the seamless integration of these modern data tools on the Databricks Lakehouse platform, enabling you to unlock faster and more efficient insights. Witness firsthand how the synergy of Lakehouse and the Modern Data Stack outperforms traditional solutions, propelling your organization into the future of data-driven innovation. Don't miss this opportunity to revolutionize your data strategy and unleash unparalleled value with the lakehouse revolution.

Talk by: Kyle Hale and Roberto Salcido

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

Fivetran helps Enterprise and Commercial companies improve the efficiency of their data movement, infrastructure, and analysis by providing a secure, scalable platform for high-volume data movement. In this fireside chat, we will dive into the pain points that drove Catalyst, a cloud-based platform that helps software companies grow revenue with advanced insights and workflows that strengthen customer adoption, retention, expansion and advocacy, to begin their search for a partnership that would automate and simplify data management along with the pivotal success driven by the implementation of Fivetran and Databricks. 

Discover how together Fivetran and Databricks:

• Deliver scalable, real-time analytics to customers with minimal configuration and centralize customer data into customer success tools.
• Improve Catalyst’s visibility into customer health, opportunities, and risks across all teams.
• Turn data into revenue-driving insights around digital customer behavior with improved targeting and Ai/ Machine learning.
• Provide a robust and scalable data infrastructure that supports Catalyst’s growing data needs, with improvements in data availability, data quality, and overall efficiency in data operations.

Talk by: Edward Chiu and Lauren Schwartz

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

Hear from two guests. First, Zaheera Valani (Sr Director, Engineering at Databricks) on data sharing and Databricks marketplace. Second guest, Taylor Brown (COO and co-founder, Fivetran), discusses cloud data platforms and automating data pulling from thousands of disparate data sources - how Fivetran and Databricks partner. Hosted by Holly Smith (Sr Resident Solutions Architect, Databricks) and Jimmy Obeyeni (Strategic Account Executive, Databricks)

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

Fivetran and dbt Cloud continue to gain traction and popularity among some of the most innovative companies, and for good reason. When combined, Fivetran and dbt Cloud provide an automated, performant, end-to-end ELT pipeline. Join our session where Nikolay Voronchikhin will walk us through Cisco’s journey to building a successful data stack with Fivetran and dbt Cloud. Discover best practices to maximize this powerful combination in your business.

Check the slides here: https://docs.google.com/presentation/d/1-rPuzq0om7ePXXcXFd4lBi72L5svZHNjkx0RWLGgUo8/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

for a few use cases like static and passive data catalogs. However, active metadata can be the key to unlock a variety of use cases, acting as the glue that binds together our diverse modern data stacks (e.g. dbt, Snowflake, Fivetran, Databricks, Looker, and Tableau) and diverse teams (e.g. analytics engineers, data analysts, data engineers, and business users)! At Atlan, we’ve worked closely with modern data teams like WeWork, Plaid, PayU, SnapCommerce, and Bestow. In this session, we’ll lay out all our learnings about how real-life data teams are using metadata to drive powerful use cases like column-level lineage, programmatic governance, root cause analysis, proactive upstream alerts, dynamic pipeline optimization, cost optimization, data deprecation, automated quality control, metrics management, and more. P.S. We’ll also reveal how active metadata and the dbt Semantic Layer can work together to transform the way your team works with metrics!

Check the slides here: https://docs.google.com/presentation/d/1xrC9yhHOQ00qWt-gVlgbakRELg2FzEPt-RwMsUWzdZA/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

Welcome to the dbt Package show! Have you ever wondered how Fivetran approaches building dbt packages? Well, put on your aprons, because the Fivetran team is going to give you a glimpse at their recipe for building packages with dbt from 0 release to implementation. Sheri Nguyen of Fivetran will show you:

• How they leverage the dbt Community to get the right ingredients for our packages and plan our roadmap for end state package models

• Their methodologies and standards for preparing ingredients for our data models to provide flexibility for all our users

• How they combine everything together and cook up our models for our dbt packages

Finally, after all the cooking is done, the best part is sharing what you've made with your friends and family. Sheri will also show you how different companies use our various packages and how you can contribute! This talk will benefit those who want to leverage Fivetran's dbt packages, understand why we apply certain modeling practices, and understand how we continually iterate on these packages. Additionally, this session will be beneficial for those who also want to be dbt package maintainers and understand how they can contribute future packages.

Check the slides here: https://docs.google.com/presentation/d/1QKvnxnfRBrZKOnBGwXkLnc-EjLS4S3mbSe59kjHhMos/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

Let’s get down to business! Most business users don't want to be bogged down in the data modeling and complexities that us data folk work so hard to accomplish and overcome. Instead, business users and leadership members want the dashboards and numbers they care about. In this session, Matthew Hoss (Element Biosciences) shares his four-step approach to modeling and creating turnkey cost dashboards, all sitting on top of a Netsuite/Fivetran/Snowflake/dbt/Tableau data stack, that help business users get the answers they need, quickly.

Check the slides here: https://docs.google.com/presentation/d/1VVZwm2Kloy1aeewqbB--7WfxIifnpIZflx9V8Q2N-x0/edit?usp=sharing

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

The time and attention of skilled engineers are some of the most constrained, valuable resources at Red Digital, a marketing agency embedded within Red Ventures. Acknowledging that constraint, the team at Red Digital has taken a deliberate, product-first approach to modernize and democratize their data platform. With the help of modern tools like Databricks, Fivetran, dbt, Monte Carlo, and Airflow, Red Digital has increased its development velocity and the size of the available talent pool to continue to grow the business.

This talk will walk through some of the key challenges, decisions, and solutions that the Red Digital team has made to build a suite of parallel data stacks capable of supporting its growing business.

Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/

With serverless SQL compute and built-in governance, Databricks SQL lets every analyst and analytics engineer easily ingest, transform, and query the freshest data directly on your data lake, using their tools of choice like Fivetran, dbt, PowerBI or Tableau, and standard SQL. There is no need to move data to another system. All this takes place at virtually any scale, at a fraction of the cost of traditional cloud data warehouses. Join this session for a deep dive into how Databricks SQL works under the hood, and see a live end-to-end demo of the data and analytics on Databricks from data ingestion, transformation, and consumption, using the modern data stack along with Databricks SQL.

Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/

Most organizations routinely operate their business with complex cloud data architectures that silo applications, users and data. As a result, there is no single source of truth of data for analytics, and most analysis is performed with stale data. To solve these challenges, the lakehouse has emerged as the new standard for data architecture, with the promise to unify data, AI and analytic workloads in one place. In this session, we will cover why the data lakehouse is the next best data warehouse. You will hear from the experts success stories, use cases, and best practices learned from the field and discover how the data lakehouse ingests, stores and governs business-critical data at scale to build a curated data lake for data warehousing, SQL and BI workloads. You will also learn how Databricks SQL can help you lower costs and get started in seconds with instant, elastic SQL serverless compute, and how to empower every analytics engineers and analysts to quickly find and share new insights using their favorite BI and SQL tools, like Fivetran, dbt, Tableau or PowerBI.

Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/