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The integration system must execute a search over the space of possible queries in order to find the best rewrite. The resulting rewrite may not be an equivalent query but maximally contained, and the resulting tuples may be incomplete. As of 2011 the GQR algorithm [22] is the leading query rewriting algorithm for LAV data integration systems.
Middleware allows data contained in one database to be accessed through another. This makes it particularly useful for enterprise application integration and data integration tasks. In more abstract terms, middleware is "The software layer that lies between the operating system and applications on each side of a distributed computing system in ...
System integration is defined in engineering as the process of bringing together the component sub-systems into one system (an aggregation of subsystems cooperating so that the system is able to deliver the overarching functionality) and ensuring that the subsystems function together as a system, [1] and in information technology [2] as the process of linking together different computing ...
EAI systems implement two patterns: [4] Mediation (intra-communication) Here, the EAI system acts as the go-between or broker between multiple applications. Whenever an interesting event occurs in an application (for instance, new information is created or a new transaction completed) an integration module in the EAI system is notified.
There are three main architectures that are implemented in ontology‑based data integration applications, [1] namely, Single ontology approach A single ontology is used as a global reference model in the system. This is the simplest approach as it can be simulated by other approaches. [1] SIMS [6] a prominent example of this approach.
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
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".
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 ]