Book Image

Big Data Forensics: Learning Hadoop Investigations

Book Image

Big Data Forensics: Learning Hadoop Investigations

Overview of this book

Table of Contents (15 chapters)
Big Data Forensics – Learning Hadoop Investigations
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

About the Reviewers

Tristen Cooper is an IT professional with 20 years of experience of working in corporate, academic, and SMB environments. He completed his BS degree in criminology from Fresno State and has an MA degree in political science from California State University, San Bernardino. Tristen's expertise includes system administration, network monitoring, forensic investigation, and security research.

His current projects include a monograph on the application of Cloward and Ohlin's Differential Opportunity to Islamic states to better understand the group's social structure and a monograph on the international drug trade and its effects on international security.

Mark Kerzner holds degrees in law, math, and computer science. He is a software architect and has been working with Big Data for the last 7 years. He is a cofounder of Elephant Scale, a Big Data training and implementation company, and is the author of FreeEed, an open source platform for eDiscovery based on Apache Hadoop. He has authored books and patents. He loves learning languages, currently perfecting his Hebrew and Chinese.