Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Protect IoT data and monetize it with analytics (sponsored by Micro Focus Security and Big Data Analytics)

Phil Sewell (Micro Focus)
4:35pm5:15pm Wednesday, September 27, 2017
Sponsored
Location: 1A 01/02

What you'll learn

  • Explore standards, options, and use cases for extracting value and delivering business outcomes from data protected at the data level

Description

With rapid adoption of the internet of things (IoT), the possibilities may be endless, but so are the threats. A connected world with Hadoop analytics opens all kinds of doors, which means forward-looking architects and big data innovation leaders are carefully planning their roadmaps now.

How can so much data be captured, analyzed, and leveraged effectively and safely—all while maintaining data privacy and adhering to regulations such as the GDPR? Phil Sewell discusses standards, options, and use cases for extracting value and delivering business outcomes from data protected at the data level, sharing a “build it in” approach to persistently securing your most sensitive data in use, at scale, across the Hadoop and IoT ecosystems.

This session is sponsored by Micro Focus Security and Big Data Analytics.

Phil Sewell

Micro Focus

Phil Sewell is Technical Director, Solutions Architecture for Micro Focus Data Security. Phil has experience with global software vendors for over 28 years and is focused today on enterprise data protection solutions. Phil helps Micro Focus’ strategic customers address today’s market changing business factors that are influencing information technology and security, including: cloud; big data; mobility; privacy; corporate and regulatory compliance; HIPAA; PCI and payments security. Prior to Micro Focus, Phil worked in a variety of
roles, across a wide range of software solutions at Sun Microsystems, Entrust, Oracle, and Forté Software. Phil has a BMath from the University of Waterloo in Applied Mathematics and Computer Science.