Sep 23–26, 2019

Getting ready for CCPA: securing data lakes for heavy privacy regulation

Mark Donsky (Okera)
9:00am12:30pm Tuesday, September 24, 2019
Location: 1E 15/16
Secondary topics:  Privacy and Security

Who is this presentation for?

Security, admins, dev ops, data stewards

Level

Intermediate

Prerequisite knowledge

General understanding of data lake concepts, basic security principles, plus cloud concepts, such as S3, EMR, transient clusters, etc.

Materials or downloads needed in advance

n/a

What you'll learn

Attendees will leave with a complete understanding of best practices for security and governing cloud, on-prem, and hybrid deployments, including wire encryption, data at rest encryption, governance best practices, unified, secure, data catalogs for self-service discovery. Attendees will also understand important aspects of GDPR and CCPA.

Description

Many data lakes lack even the most basic security and governance controls. The complexity of multi-compute, petabyte-scale security has proved daunting. Nonetheless, with the emergence of regulation such as CCPA and GDPR, organizations can no longer afford to overlook security and governance.

In this session, we will walk you through securing a Hadoop cluster. You’ll start with a cluster with no security and then add security features related to authentication, authorization, encryption of data at rest, encryption of data in transit, and complete data governance.

For each security feature, we will cover the following topics:

  • Introduction: What the security feature is, what protection it provides, and best practices and recommendations
  • Planning: How to enable the feature in a phased manner with the fewest growing pains and least risk
  • Relevance: Why it’s important (demonstrated by live attacks against a cluster without the target security feature), and how it relates to GDPR
  • Implementation: An overview of how the implementation is performed, where the moving parts are, and potential pitfalls
Photo of Mark Donsky

Mark Donsky

Okera

Mark Donsky leads product management at Okera, a software provider that provides discovery, access control, and governance at scale for today’s modern heterogeneous data environments. Previously, Mark led data management and governance solutions at Cloudera. Mark has held product management roles at companies such as Wily Technology, where he managed the flagship application performance management solution, and Silver Spring Networks, where he managed big data analytics solutions that reduced greenhouse gas emissions by millions of dollars annually. He holds a BS with honors in computer science from the University of Western Ontario.

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