홈페이지Data + AI Summit 2022 로고
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Security Best Practices for Lakehouse

On Demand

Type

  • Session

Format

  • In-Person

Track

  • 데이터 보안 및 거버넌스

Difficulty

  • Intermediate

Room

  • Moscone South | Upper Mezzanine | 152

Duration

  • 35 min
Download session slides

개요

As you embark on a lakehouse project or evolve your existing data lake, you may want to improve your security posture and take advantage of new security features—there may even be a security team at your company that demands it! Databricks has worked with thousands of customers to securely deploy the Databricks Platform to meet their architecture and security requirements. While many organizations deploy security differently, we have found a common set of guidelines and features among organizations who require a high level of security. In this talk, we will detail the security features and architectural choices frequently used by these organizations and walk through a series of threat models for the risks that most concern security teams. While this session is great for people who already know Databricks, don’t worry, that knowledge isn’t required.
You will walk away with a full handbook detailing all of the concepts, configurations, and code from the session so that you can make immediate progress when you get back to the office.
Security can be hard, but we’ve collected the hard work already done by some of the best in the industry, to make it easier. Come learn how.

Session Speakers

Headshot of David Veuve

David Veuve

Databricks

Headshot of Arun Pamulapati

Arun Pamulapati

Sr. Staff Security Field Engineer

Databricks

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