Approaches to Avoid Traditional Multidimensional Data Cube: A Survey

Abstract

Data analysis is the growing need of the current era. Data analysis is not only restricted to business domain only. Advancement in the technology opens the door of technology to the every common person and hence data generation is increasing exponentially day by day. Incorporating such huge amount of data in the data analysis system is the big challenge. Handling variety of data is also the difficult issue. The numerous options are coming out to solve these problems. To support the decision making system, Online Analytical Processing (OLAP) is the more suitable option. OLAP uses the multidimensional data analysis approach of data analysis. OLAP includes the analysis of current data as well history data and also the aggregated or summary data. To handle the aggregated data traditionally data cube is used. This paper focuses on the various research techniques to enhance the performance of the data cube.