The Lakehouse architecture has emerged as the ideal data architecture for the AI age. It 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.

Speaker: Thor List, Senior Field Engineering Manager, Databricks

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Supercharge your analytics engineering with the power of automated CI checks. Learn how FINN, a global car subscription service, has harnessed the capabilities of automated CI checks to maintain the delicate balance between swift development and robust data pipeline quality as they've scaled their data teams. Dive into insights and strategies to ensure quality without sacrificing speed and discover how to improve your data operations.

Speakers: Chiel Fernhout, Software Engineer, Datafold; Jorrit Posor, Tech Lead Data Engineering, FINN GmbH; Felix Kreitschmann, Senior PM, Data, FINN Auto

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How a team of eight Analytics Engineers rolled out dbt across Virgin Media O2 to become a data driven company.

Speakers: Oliver Burt, Lead Analytics Engineer, Virgin Media O2; Jason Jones, Analytics Engineering Manager, Virgin Media O2

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Showcasing how analytics engineers can add value to a business by simplifying complex asks into an easy to analyze format. This particular example looks at how we can achieve great insight into our product's performance from a standardized table structure and some clever macros.

Speaker: George Apps, Analytics Engineering, Travelperk

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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

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

This panel discussion led by Data Clymer brings together data leaders from some of the top professional sports organizations in the U.S. to explore how sports and similar mid-size businesses are leveraging data and analytics engineering best practices to fuel revenue growth, improve business efficiencies, and drive fan engagement.

Speakers: Jesse McCabe, Vice President Marketing, Data Clymer; Keelan Smithers, Data Product Manager, Analytics Engineering, NBA; Paimon Jaberi, Managing Director of Strategy and Analytics, Seattle Seahawks; Jared Chavez, Senior Data Engineer, Pacers Sports & Entertainment

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

When a startup is in its early stages, the data infrastructure is typically built with the best intentions, but doesn’t necessarily scale, and often predates many modern data tools available today. Years later, you might find yourself juggling complexity and tech debt when providing insights. This talk shares the journey Unbounce embarked on to modernize their data stack, including approaches to the following hurdles: demonstrating value and ROI to leadership for buy-in; deciding which tools to adopt; coordinating with data engineers and data analysts to deliver the cross-team project; and ensuring there were no interruptions to stakeholders throughout the migration.

Speaker: Morgan Cabot, Analytics engineering technical lead, Unbounce

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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

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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/

Does career growth feel like a black box? Does the question "where do you want to be in five years" fill you with existential dread? Data people come in all shapes and sizes, from backgrounds and disciplines, which can make it hard to see a clear growth path through the industry. In this session, Kasey Mazza at Hubspot explains how you can explore the whole ecosystem of data roles without feeling overwhelmed.

As the great Natasha Bedingfield once said,” the rest is still unwritten.” While a blank canvas ahead of you can be scary, it's also full of promise and opportunity. You'll leave this session with actionable next steps on how to be in control of your career growth and your destiny.

Speaker: Kasey Mazza, Manager, Analytics Engineering, HubSpot

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

Video highlights from Coalesce 2023 in San Diego. Coalesce is a conference for data practitioners, by data practitioners.

Coalesce is hosted by dbt Labs and crafted in collaboration with partners to advance the practice of the analytics engineering industry. Anyone that seeks new tips, tools, or techniques for more impactful data work is welcome to attend.

Sign up for our next Coalesce: https://coalesce.getdbt.com/