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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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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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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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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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

A data team looks to grow by 33% by making their biggest hire to date: an AI Powered Chatbot. The biggest problem for this two person team: they don’t know where to start.

Join Airbyte on the journey from first Google search through procurement to implementation as they try to figure out if they can make an AI chatbot work for answering all of our companies questions.

They're (most likely) just like you: they know that they needed to do something with AI but weren't sure where or how to start. In this presentation, the Airbyte team talks through the process of trying to figure out how to use AI to make their team more efficient and have a wider reach in a rapidly growing, fully remote organization.

Speaker: Alex Gronemeyer, Lead Analytics Engineer, Airbyte

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Artyom Keydunov, Co-founder & CEO of Cube, discusses the future for the semantic layer, uniting BI tools, embedded analytics, and AI agents. This new approach brings together data, enabling data tools to introspect data model definitions and seamlessly interoperate within the data stack. By embracing this new approach—data practitioners will reap the benefits with enhanced user experiences, quicker data delivery, and streamlined workloads. See how a semantic layer can harmonize your data tools to drive maximum impact for yourself and end-users.

Speaker: Artyom Keydunov, Co-founder & CEO, Cube Dev

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Advances in LLM technology and the semantic layer have made AI-powered data analytics easy. Nothing special. Par for the course.

Wait, you haven't seen yet? Don't worry, we'll show you. But I gotta warn you, it's pretty boring stuff. You just ask for whatever data you want, and then the computer gets it for you. Yes, seriously!

So what is still impressive in October 2023? Well, good old fashioned human ingenuity and improvisational skill. Computers may have gotten pretty good at crunching the numbers, but you still can't replace good old fashioned meat and bone when it comes time to present those numbers to the big boss.

In this session, Izzy Miller and Matt David put that to the test with a live game of Dashboard Karaoke— with an AI twist. Random audience members take turns using Hex's Magic AI to generate entire analytical reports on datasets of their choosing. Then, our handpicked data practitioners have to improvise a compelling presentation of the results on the spot, explaining the intricacies and trends of data they've never seen. And of course, there will be plenty of time for audience questions ;)

Speakers: Izzy Miller, Developer Advocate, Hex; Matt David, Product Marketing Lead, Hex

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On Survivor, it's all fun and games until someone fails and a challenge is lost. People scramble, they frantically search for hidden immunity idols (and sometimes even crazier things happen).

Within data teams, everything is fine until that one Slack alert comes in about a failed run. Chaos doesn't need to ensue between analytics and data engineers when triaging an error with the warehouse or upstream infrastructure. Order fulfillment? Orders are initiated by a user in a web app. Fraud detection? The logic is usually based on ML models that require training and testing. Workflows are connected, making disparate systems a necessity to connect.

The keys to success on Survivor, and on data teams: create links to find hidden immunity idols—I mean, the root cause of why a workflow failed.

Run double duty during this talk: learn about Survivor social science and how to bridge the gap between analytics and data engineering beyond the warehouse for a one-happy-family feeling.

Speaker: Sarah Krasnik Bedell, Growth Lead, Prefect

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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/

ChatGPT is the talk of the town, with everyone asking - are the robots finally coming for our jobs? Join this panel of data leaders to hear about why they believe that ChatGPT and other AI tools are actually an analytical engineer's new best friend.

Speakers: Kate Schiffelbein, Head of Business Intelligence, Northbeam; Lindsay Murphy, Head of Data, Secoda; Patrick Ross, Solutions Architect, Data Clymer

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