Protecting Sensitive Data in Hadoop

Topic: Protecting Sensitive Data in Hadoop

Abstract:

Exponential data growth is driving organizations to leverage Hadoop for storing and processing these vast amounts of data. What’s the best way to secure sensitive or regulated data processed inside Hadoop? How can Hadoop and other elements of the ecosystem best be secured? This talk briefly explains the current threat landscape, methods to protect sensitive data in and around Hadoop, and technical details on how to secure the most sensitive data. Learn how good data security in Hadoop becomes a business “enabler” not an operational and performance ball and chain.

Presenter: Les McMonagle, Chief Security Strategist, Protegrity

Les has over twenty years experience in information security. He has held the position of Chief Information Security Officer (CISO) for a credit card company and ILC bank, founded a computer training and IT outsourcing company in Europe and helped several security technology firms develop their initial product strategy. Les founded lead Teradata’s Information Security, Data Privacy and Regulatory Compliance Center of Excellence and is currently Chief Security Strategist for Protegrity.

Les holds a BS in MIS, CISSP, CISA, ITIL and other relevant industry certifications.