HomepageData + AI Summit 2023 Logo
SAN FRANCISCO, JUNE 26-29
VIRTUAL, JUNE 28-29
  • Sessions
Watch on demand

Security Best Practices and Tools to Build a Secure Lakehouse

Thursday, June 29 @12:30 PM
Attending in person? Add to your schedule ↗

Overview

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 that require a high level of security. In this session, 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 the concepts, configurations, check lists, security analysis tool (SAT), and security reference architecture (SRA) automation scripts 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, and built tools, to make it easier. Come learn how. See how good looks like via a demo.


Type

  • Breakout

Experience

  • In Person

Track

  • Data Lakehouse Architecture, Databricks Experience (DBX)

Difficulty

  • Intermediate

Duration

  • 40 min
Download session slides

Session Speakers

Headshot of Anindita Mahapatra

Anindita Mahapatra

Lead Solutions Architect

Databricks

Headshot of Arun Pamulapati

Arun Pamulapati

Sr. Staff Security Field Engineer

Databricks

Don't miss this year's event!

Register now