Swimming at Our Own Lakehouse: How Databricks Uses Databricks
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Lakehouse Architecture and Implementation |
Industry | Enterprise Technology |
Technologies | Databricks SQL, Databricks Workflows, Unity Catalog |
Skill Level | Beginner |
Duration | 40 min |
Peek behind the curtain to learn how Databricks processes hundreds of petabytes of data across every region and cloud where we operate. Learn how Databricks leverages Data and AI to scale and optimize every aspect of the company. From facilities and legal to sales and marketing and of course product research and development. This session is a high-level tour inside Databricks to see how Data and AI enable us to be a better company. We will go into the architecture of things for how Databricks is used for internal use cases like business analytics and SIEM as well as customer-facing features like system tables and assistant. We will cover how data production of our data flow and how we maintain security and privacy while operating a large multi-cloud, multi-region environment.
Session Speakers
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Bruce Wong
/Head of Data Platform
Databricks
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Alan Jackoway
/Staff Software Engineer
Databricks