Big Data Management in Digital Forensics
Man Qi, Yang Liu, Lin Lu, Junyong Liu, Maozhen Li · 2014
The past few years have witnessed an exponential growth in the volume of data on digital forensics leading to big data issues. Digital forensics data is complex and heterogeneous in that it can be structured, unstructured and semi-structured. Traditional relational database management systems (RDBMS) typically expose a query interface based on SQL (Structured Query Language). However, the RDBMS are mainly employed for management of structured data and hard to scale out to the ever growing size of data sets. This paper reviews the features of NoSQL (Not Only SQL) database technologies as an alternative to RDBMS for management of Big Data. It evaluates the performance of a RDBMS (i.e. MySQL) in comparison with two NoSQL database systems (i.e. Mongo DB and Riak).