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Scaling Your Workloads with Databricks Serverless

On Demand

Type

  • Session

Format

  • Hybrid

Track

  • Data Lakes, Data Warehouses and Data Lakehouses

Room

  • Moscone South | Level 3 | 306

Duration

  • 35 min
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Überblick

Databricks SQL provides a first-class user experience for BI and SQL directly on the lakehouse platform. But you still need to administer and maintain clusters of virtual machines. What if you could focus on your Databricks SQL queries and never need to worry about the underlying compute infrastructure? Learn how Databricks Serverless, built into the Databricks Lakehouse Platform, eliminates cluster management, provides instant compute, and lowers total cost of ownership for Databricks SQL. In this session, you will see demos, hear from customers, learn how Databricks Serverless works under the hood, be equipped with everything you need to get started – and ultimately get the best out of Databricks Serverless.

Session Speakers

Nikhil Jethava

Staff Product Manager

Databricks

Headshot of Aaron Davidson

Aaron Davidson

Principal Software Engineer

Databricks

Matt Ryan

Director Engineering and Co-Founder

Kythera Labs

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