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 will discuss 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 how they leveraged dbt Cloud on Databricks to deliver powerful customer experiences quickly and efficiently.   We’ll share the latest capabilities of Databricks platform and provide a sneak peek of upcoming features.

<span data-sheets-userformat='{"2":771,"3":{"1":0},"4":{"1":2,"2":16776960},"11":4,"12":0}' data-sheets-value='{"1":2,"2":"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.\n\nBut what really makes something a “Lakehouse” and why should you care? In this session, we’ll discuss 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 how they leveraged dbt Cloud on Databricks to deliver powerful customer experiences quickly and efficiently. We’ll share the latest capabilities of Databricks platform and provide a sneak peek of upcoming features."}'>The Lakehouse architecture has emerged as the ideal data architecture for the AI age. &nbsp;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? &nbsp;In this session, Databricks will discuss 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. &nbsp;You’ll hear from a customer how they leveraged dbt Cloud on Databricks to deliver powerful customer experiences quickly and efficiently. &nbsp; We’ll share the latest capabilities of Databricks platform and provide a sneak peek of upcoming features.

San Diego

Online

Senior Director of Product Management

Analytics Engineer

No compromises: Analytics engineering on the Lakehouse

Mainstage

Live streamed

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...

Samuel Garfield

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