Securing Hadoop – the Data-Centric Approach
Recorded: October 1 | 2014 Play
If you're embarking on Hadoop adoption you know that sensitive customer and corporate data will be in the ecosystem – transactional data, intellectual property, customer files, and more. As Adrian Lane of Securosis has noted, "High quality data produces better analysis results—which is why a key ingredient is sensitive data." Now the question becomes how to keep sensitive data secure as it moves into and beyond Hadoop, and—most importantly—how to protect the data but still make it accessible by many different users with varying analytic needs and ad-hoc processes.