A Random Walk through the Dark Side of NoSQL Databases in Big Data Analytics

Kudakwashe Zvarevashe, Tatenda Trust Gotora

Abstract: The massive growth of technology has greatly stimulated the need to generate data. Every day people and companies generate enormous amounts of data and this data may be structured; unstructured; semi-structured or a combination of all. This has called for the need to design databases which can store this type and volume of data and NoSQL databases have been the antidote crafted and designed to alleviate this problem. However; the NoSQL solution to this Big Data problem has also lead to several other problems therefore this paper seeks to reveal this problem taking a walkthrough into the structure of NoSQL databases. In addition; the paper also makes a sneak preview of the discovered mainstream (MongoDB vs. Cassandra) NoSQL database security features analysis

Keywords: NoSQL, big data, structured data, unstructured data, semi-structured data, MongoDB, Cassandra

How to Cite?: Kudakwashe Zvarevashe, Tatenda Trust Gotora, "A Random Walk through the Dark Side of NoSQL Databases in Big Data Analytics", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 506-509, https://www.ijsr.net/getabstract.php?paperid=2014188, DOI: https://dx.doi.org/10.21275/2014188