INTEGRATION OF THE MODELING VISUALIZE THE DATA GRAPH IN THE DATA WAREHOUSE CLOUD
Keywords:
cognitive systems, information visualization, QR, Code modelAbstract
The information visualization in reports is a significant aspect of humancomputer interaction, for both the accuracy and complexity of relations between data must be maintained. Visualization of individual reports with different kinds of graphs, such as Histograms and Pies has been paid greater attention. Moreover, There are different information items and no sustaintion to visualize their interrelationships that are highly important for most decision processes given by this type of indication. A design methodology is presented in this paper to extract the visual language [1] based on a logic pattern. QR Code allows to form the visualization through the QR (Quick Response) Code model which represents the relationships graphically between a view that a conceptual map and information items can be considered with. This design methodology proposes four phases: the MOLAP (Multidimensional On-Line Analytical Processing) Operation pattern and QR Code Modeling definition phases define the QR Code model and underlying metadata information, the MOLAP (Multidimensional On-Line Analytical Processing) Operation phase extracts data from a data warehouse physically and the final visualization generated by report visualization. Moreover, the real data of a case study is given
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