Code Modeling of Graph Composition for Data Warehouse Report Visualization

Recent advancements in the technology have reconnoiter, thus leading to enormous generation and utilization of data. Data acts as a fundamental part for all the domains including the data warehouse domain. Data can be explored in various ways; one such way to explore and conceptualize the data is termed as “Data Visualization”. This insight of data proffers an ease for the users to understand the scenario more precisely. But this visualization faces a lot of challenges as a correct visualization picture is of utmost importance. Along with visualizing data, the processing part should also be equally efficient. To deal with multidimensional data OLAP (Online Analytical Processing) appears to be a more feasible option but OLAP does not provide an efficient processing when pattern or sequential data is considered. Another issue that upraises over here is that there is no accurate processing of traditional and pattern data in the same OLAP. To deal with issues specified, a system is designed that deals with both traditional as well as sequential data and provides suitable visualization. The system incorporates a sequential OLAP and complexity design modeling technique to achieve the objective.