October 19, 2019

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Three principles for a data-centric security architecture on Hadoop to simplify your life

Three principles for a data-centric security architecture on Hadoop to simplify your life

Pratik Verma and Paulo Pereira share three security architecture principles for Hadoop to protect sensitive data without disrupting users: modifying requests to filter content makes security transparent to users; centralizing data-access decisions and distributing enforcement makes security scalable; and using metadata instead of files or tables ensures systematic protection of sensitive data.

Talk Title Three principles for a data-centric security architecture on Hadoop to simplify your life
Speakers Pratik Verma (BlueTalon), Paulo Pereira (GE)
Conference Strata + Hadoop World
Conf Tag Big Data Expo
Location San Jose, California
Date March 29-31, 2016
URL Talk Page
Slides Talk Slides
Video

Hadoop and big data technologies can unlock the true potential of your business. But due to the organic evolution of different components of the data stack, security controls have become siloed in applications. Drawing from their experience solving these problems for Fortune 500 companies, Pratik Verma and Paulo Pereira share three principles of a data-centric security architecture for Hadoop that protects sensitive data without disrupting users:

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