Modeling and Management of Big Data in Databases
The main real-world datasets used in the studies analyzed for this paper were sensor data, image metadata, website publications, and electronic documents. Most of the studies analyzed did not document the specific languages they used to model their data or the tool they used. But due to the need to analyze large volumes of data with various structures, which arrive in high frequency, database research became more focused on NoSQL than relational databases. Why might a NoSQL vs. Relational approach be best for database management, according to growing trends captured in this review of research?
2. Method
This SLR study was undertaken based on the guidelines proposed by Kitchenham, resulting in a three-phase division: (1) planning the SLR study, (2) conducting the SLR study and (3) reporting the SLR study. Figure 2 summarizes the phases in our SLR study.
Figure 2. Systematic Literature Review phases.
The activities included in the first phase were checking the existence of other SLR studies about the topic of interest; defining the review protocol to be applied in order to mitigate possible biases from involved researchers; conceiving objectives, justifications and research questions; and, finally, defining the strategy to be pursued.
In the second phase, the activities were to collect the primary studies from the sources defined by the planning step and subsequently apply the criteria for inclusion to select only those studies related to Big Data modeling.
At last, in the third phase, the corresponding activities were to perform a full bibliometric analysis to provide the information about the authors and publication data in a single document. Furthermore, each selected relevant study was mapped to several key concepts. The analysis results allowed us to answer the research questions.
Each phase is further elaborated in the next subsections.