The life cycle for developing a new interface between systems is very similar to other data- related development disciplines. Profiling the data, or analysis of the actual data on both the source and target sides of the proposed data movement, is critical to success. The data integration development life cycle includes scoping high-level requirements, high-level design, then detailed requirements and the specification of data mappings and transformations. The development phases are iterative, with testing done as soon and frequently as possible, and should include the development of a proving process to compare the data in the source systems with the data in the target systems.
Although data integration has been viewed as a purely technical discipline, resources with real business knowledge and understanding of the data are essential to the success of any data integration project.
The life cycle for developing a new interface between systems is very similar to other data- related development disciplines. Profiling the data, or analysis of the actual data on both the source and target sides of the proposed data movement, is critical to success. The data integration development life cycle includes scoping high-level requirements, high-level design, then detailed requirements and the specification of data mappings and transformations. The development phases are iterative, with testing done as soon and frequently as possible, and should include the development of a proving process to compare the data in the source systems with the data in the target systems.Although data integration has been viewed as a purely technical discipline, resources with real business knowledge and understanding of the data are essential to the success of any data integration project.
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