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Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).
Web data integration (WDI) is the process of aggregating and managing data from different websites into a single, homogeneous workflow. This process includes data access, transformation, mapping, quality assurance and fusion of data. Data that is sourced and structured from websites is referred to as "web data".
In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including: [1] Data transformation or data mediation between a data source and a destination
Data integration, for example, should be dependent upon data architecture standards since data integration requires data interactions between two or more data systems. A data architecture, in part, describes the data structures used by a business and its computer applications software .
Promote enterprise integration as a formal discipline. For example, data integration will include data warehousing, data migration, data quality management, data integration for service-oriented architecture deployments, and data synchronization. Similar systems integration will include common messaging services, business service virtualization ...
Enterprise information integration (EII) is the ability to support a unified view of data and information for an entire organization.In a data virtualization application of EII, a process of information integration, using data abstraction to provide a unified interface (known as uniform data access) for viewing all the data within an organization, and a single set of structures and naming ...
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Another significant barrier is the cost in time and money in the initial setup. The preliminary expenses and time that arise from the implementation, customization and training can be costly. It is important to select the correct level of integration to match the business requirement.