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: