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Big Data Forensics – Learning Hadoop Investigations by Joe Sremack

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Big Data forensics

The changes to the volumes of data and the advent of Big Data systems have changed the requirements of forensics when Big Data is involved. Traditional forensics relies on time-consuming and interruptive processes for collecting data. Techniques central to traditional forensic include removing hard drives from machines containing source evidence, calculating MD5/SHA-1 checksums, and performing physical collections that capture all metadata. However, practical limitations with Big Data systems prevent investigators from always applying these techniques. The differences between traditional forensics and forensics for Big Data are covered and explained in this section.

One goal of any type of forensic investigation is to reliably ...

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