Joe Sremack is a director at Berkeley Research Group, a global expert services firm. He conducts digital investigations and advises clients on complex data and investigative issues. He has worked on some of the largest civil litigation and corporate fraud investigations, including issues involving Ponzi schemes, stock option backdating, and mortgage-backed security fraud. He is a member of the Association of Certified Fraud Examiners and the Sedona Conference.
Big Data Forensics: Learning Hadoop Investigations
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
Free Chapter
Starting Out with Forensic Investigations and Big Data
Understanding Hadoop Internals and Architecture
Identifying Big Data Evidence
Collecting Hadoop Distributed File System Data
Collecting Hadoop Application Data
Performing Hadoop Distributed File System Analysis
Analyzing Hadoop Application Data
Presenting Forensic Findings
Index
Customer Reviews