A novel approach on transformation and analysis of data linked to distributed databases: A case study

In general, transformation of data in several forms nowadays is quite possible and feasible due to easy accumulation as well as storage linked with large volume databases. In fact, the complexity of tasks associated with the queries in the databases can be optimized and resolved prioritizing the activities involved in the applications. Usually the traditional approaches linked with the conventional databases may not be adequate towards satisfying the requirements in the current situations. It is essential to focus on the emerging applications of databases being suitable towards obtaining optimality on large scaled data. In this manuscript, it is intended to prioritize and optimize the data linked to distributed relational database implementing soft computing approach. Also it may keep the information regarding the structure and association of database queries. The optimality in this case can be obtained based on the volume of stored data along with the execution time of database queries.