Big Data Security
Reducing the Risk of Integrating Hadoop
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Hardback
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Description
Big data security enables products like Hadoop to provide new knowledge in a secure fashion. Big data brings together many previously separate units of data that were partially secured by their host’s technical inability to share that data seamlessly. The potential for data breach in a big data solution is huge. New processes and technology solutions are needed to enable sensitive data to be brought together safely allowing differential privacy, while simultaneously providing new knowledge from the aggregated results. This practical book shows how to protect Hadoop data from unauthorized access, and limit the ability of an attacker to corrupt or modify data in the event of a security breach.
Author Biography:
Paul M. Wright is a Database Applicaton Security Architect, working for leading financial institutions mainly in Central London, for the past decade.As an ex-SANS instructor, and GIAC GSE, Paul went on to write the first book on Database Forensics in 2007 and the first book on Privileged Access Control for Databases entitled Protecting Oracle (12c), which is currently a best seller and has also published in IOUG and UKOUG Journals.Paul has the most Oracle Security Alert research credits of any internal Whitehat Security person in the World and his current interests are Native IPS and Time-based Privileged Access Control in distributed database environments including Hadoop.
Release date NZ
January 1st, 2025
Author
Pages
320
Audiences
- Professional & Vocational
- Tertiary Education (US: College)
Illustrations
40 Illustrations, black and white
ISBN-13
9781498738194
Product ID
26802483
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