Big Data Security: Reducing the Risk of Integrating Hadoop

ISBN-13: 9781498738194 / Angielski / Twarda / 2025 / 320 str.

Paul M. Wright

Spis treści

Why Big Data and Hadoop? History of Hadoop. How Hadoop Fits into the Organizational Data Process. From Relational to Distributed. Hadoop Network Security. Hadoop Authentication. Hadoop Access Control. Hadoop Encryption. Data Security. Logging and Monitoring in Hadoop. Multi-application Data Lakes. Multiple Big Data Solutions. ecurely Managing a Big Data Team. Auditing and Risk within Big Data Environments.

O autorze

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.