Name
Abstract | ||
|---|---|---|
The rapid development of computer storage technologies has brought Big Data challenges to digital forensics where the dimensions of digital evidence supports has grown exponentially with heterogeneous data sets-structured, unstructured and semi-structured. Traditional relational database management systems (RDBMS) typically expose a query interface based on SQL (Structured Query Language). However, they are mainly employed for management of structured data and hard to scale to the ever growing size of data sets. This paper reviews NoSQL (Not Only SQL) database technologies as an alternative to RDBMS for management of Big Data. It introduces MongoDB and Riak as two representative NoSQL databases and evaluates their performance in data processing using the Amazon EC2 Cloud. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/FSKD.2014.6980927 | FSKD |
Keywords | Field | DocType |
semistructured heterogeneous data sets,query interface,unstructured heterogeneous data sets,big data,digital forensics,digital evidence dimensions,data processing,mongodb database,riak database,performance evaluation,amazon ec2 cloud,nosql database,nosql databases,cloud computing,not only sql database,computer storage technologies,structured query language,query processing,sql | World Wide Web,Database model,Digital forensics,Computer science,In-Memory Processing,XML database,View,Data definition language,NoSQL,Query by Example,Database | Conference |
Citations | PageRank | References |
1 | 0.37 | 6 |
Authors | ||
1 | ||