Adrian Lane, Security Analyst – CTO, Securosis; and Sudeep Venkatesh VP, Solutions Architecture, Voltage Security
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.
Join us for an insightful discussion on data-centric security approaches for multi-platform enterprise environments, including Hadoop. Learn about techniques such as format-preserving encryption, tokenization, storage-level encryption, and data masking.
RSVP Now if you need to understand how to enable analytics and insights without security risk, and how to neutralize data breaches through data-centric technologies that can integrate with Hive, Sqoop, MapReduce and other Hadoop specific interfaces.