The Integration of Hetrogeneous Data Sources for Quality Based Dynamic Source Integration System

Data integration is a challenging domain for combing data from different sources. This provides users a unified view of data. Data integration system constitutes a major importance in current real time application and characterized by some issues related from speculative conclusion of view. Integration of multiple heterogeneous data sources into real time application is a time consuming and costly process. Advance technologies and standard make integration well managed from data engineering perspectives followed by many limitations. These limitation projects a different area of research to provide solution to these challenges. In our research we cover an overview of some theoretical issues that are relevant to data integration followed by proposed ablution dealing with inconsistent data source, provide reasoning on queries. Our proposed methodology will include schema and data integration, query processing in distributed data environment followed by query optimization to overcome data inconsistencies. The need of integration of heterogeneous data sources has influenced the area of research in the past few years.