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

Chapter 2. Understanding Hadoop Internals and Architecture

Hadoop is currently the most widely adopted Big Data platform, with a diverse ecosystem of applications and data sources for forensic evidence. An Apache Foundation framework solution, Hadoop has been developed and tested in enterprise systems as a Big Data solution. Hadoop is virtually synonymous with Big Data and has become the de facto standard in the industry.

As a new Big Data solution, Hadoop has experienced a high adoption rate by many types of organizations and users. Developed by Yahoo! in the mid-2000s—and released to the Apache Foundation as one of the first major open source Big Data frameworks—Hadoop is designed to enable the distributed processing of large, complex data sets across a set of clustered computers. Hadoop's distributed architecture and open source ecosystem of software packages make it ideal for speed, scalability, and flexibility. Hadoop's adoption by large-scale technology companies is well publicized...