A Review on Big Data Management and NoSQL Databases in Digital Forensics

The huge growth in the Internet and the emerging of the new web technologies and the trend toward come with a new challenges, new applications and new concepts of database such as NoSQL databases which is recently becomes a very popular as alternative to the relational databases mostly in dealing with large data which is one of the most common features of web today, in the providense of high availability and scalability to the distributed systems which need fast access time and also can-t tolerate any down time during failures and have been used heavily by the big organizations and web companies as Digital forensics data is much complex and heterogeneous in that it can be structured, unstructured and semi-structured data. Relational database management systems (RDBMS) typically expose a query interface based on SQL (Structured Query Language). The RDBMS are mainly 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 database technologies as an alternative to RDBMS for management of Big Data. It evaluates and performance of a RDBMS in comparison with two NoSQL database systems. Addressing the concepts of NoSQL, the movement, motivations and needs behind it, and reviews the types of NoSQL databases and the issues concerning to these databases mainly areas of application and the security issues compared with traditional relational databases.