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Joe Sremack - Big Data Forensics – Learning Hadoop Investigations [2015, PDF/ePub, ENG]

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Post 21-Apr-2016 18:03

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Big Data Forensics – Learning Hadoop Investigations
Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques
Год издания: 2015
Автор: Joe Sremack
Издательство: Packt Publishing
ISBN: 9781785288104
Язык: Английский
Формат: PDF/ePub
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 264
Описание: Big Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters. Understanding Hadoop’s operational structure and performing forensic analysis with court-accepted tools and best practices will help you conduct a successful investigation.
Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop’s internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience.

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Оглавление

1: Starting Out with Forensic Investigations and Big Data
2: Understanding Hadoop Internals and Architecture
3: Identifying Big Data Evidence
4: Collecting Hadoop Distributed File System Data
5: Collecting Hadoop Application Data
6: Performing Hadoop Distributed File System Analysis
7: Analyzing Hadoop Application Data
8: Presenting Forensic Findings
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