Search

 

Data Integration

Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. In management circles, people frequently refer to data integration as "Enterprise Information Integration" (EII).

Consider a web application where a user can query a variety of information about cities (such as crime statistics, weather, hotels, demographics, etc.). Traditionally, the information must be stored in a single database with a single schema. But any single enterprise would find information of this breadth somewhat difficult and expensive to collect. Even if the resources exist to gather the data, it would likely duplicate data in existing crime databases, weather websites, and census data.

Product of the month
Connect with us Key Topics Carreir with us Contact with us
Communties Analytics Opportunity Contact Us
Academic Collaboration Data Integration Training Progaram Partning With Us
Research Collaboration Cloud Technology   Reseller
Azansys Voice E-Commerce   Investor Concern
  E-Education    
Blogs
Newsletters
Let's Connect: