A Technique for Data Integration Using Association of Attributes in Data Preprocessing

Data integration involves combining data residing in different sources and providing users with a unified view of these data. Volumes of data grow exponentially in all realms from personal data to enterprise and global data. Thus it is becoming extremely important to be able to understand data sets and organize them. To organize large volume of data, there are certain disciplines such as data integration, migration, synchronization, business intelligence etc. allow this. Our paper strives to explain and describe data integration ideas and concepts using association of attributes for categorical variables. Data integration involves combining data from several disparate sources, which are stored using various technologies and provide a unified view of the data. Data integration becomes increasingly important in cases of merging systems of two companies or consolidating applications within one company to provide a unified view of the company's data assets.