Paul M. Wright

Big Data Security

Reducing the Risk of Integrating Hadoop

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Taylor & Francis Inc
• Seitenzahl: 320
• Erscheinungstermin: 1. Januar 2025
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781498738194
• ISBN-10: 1498738192
• Artikelnr.: 59989381

Inhaltsangabe

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.