Big Data: The NoSQL and RDBMS review

The quantity of data transmitted in the network intensified rapidly with the increased dependency on social media applications, sensors for data acquisitions and smartphones utilizations. Typically, such data is unstructured and originates from multiple sources in different format. Consequently, the...

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Bibliographic Details
Published in2016 International Conference on Information and Communication Technology (ICICTM) pp. 120 - 126
Main Authors Zafar, Rashid, Yafi, Eiad, Zuhairi, Megat F., Dao, Hassan
Format Conference Proceeding
LanguageEnglish
Published IEEE 2016
Subjects
Big Data
Management
NoSQL
structured data
unstructured data
Urban areas
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Summary:The quantity of data transmitted in the network intensified rapidly with the increased dependency on social media applications, sensors for data acquisitions and smartphones utilizations. Typically, such data is unstructured and originates from multiple sources in different format. Consequently, the abstraction of data for rendering is difficult, that lead to the development of a computing system that is able to store data in unstructured format and support distributed parallel computing. To data, there exist approaches to handle big data using NoSQL. This paper provides a review and the comparison between NoSQL and Relational Database Management System (RDBMS). By reviewing each approach, the mechanics of NoSQL systems can be clearly distinguished from the RDBMS. Basically, such systems rely on multiple factors, that include the query language, architecture, data model and consumer API. This paper also defines the application that matches the system and subsequently able to accurately correlates to a specific NoSQL system.
DOI:10.1109/ICICTM.2016.7890788