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2. Data integration - Wikipedia

   en.wikipedia.org/wiki/Data_integration

   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).

3. Salesforce - Wikipedia

   en.wikipedia.org/wiki/Salesforce

   Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California.It provides applications focused on sales, customer service, marketing automation, e-commerce, analytics, artificial intelligence, and application development.

4. Open Data Protocol - Wikipedia

   en.wikipedia.org/wiki/Open_Data_Protocol

   In computing, Open Data Protocol (OData) is an open protocol that allows the creation and consumption of queryable and interoperable Web service APIs in a standard way. Microsoft initiated OData in 2007. [ 1 ]

5. Web data integration - Wikipedia

   en.wikipedia.org/wiki/Web_data_integration

   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".

6. Core data integration - Wikipedia

   en.wikipedia.org/wiki/Core_data_integration

   Core data integration is the use of data integration technology for a significant, centrally planned and managed IT initiative within a company. Examples of core data integration initiatives could include: ETL (Extract, transform, load) implementations; EAI (Enterprise Application Integration) implementations

7. Cloud-based integration - Wikipedia

   en.wikipedia.org/wiki/Cloud-based_integration

   Integration platform as a service (iPaaS) is a suite of cloud services enabling customers to develop, execute and govern integration flows between disparate applications. [2] Under the cloud-based iPaaS integration model, customers drive the development and deployment of integrations without installing or managing any hardware or middleware. [ 1 ]