IBM White Paper Sample

Data management
For SOA, it is especially important to focus on the data aspect of your implementation. Each solution needs to prioritize the establishment of a data management framework that recognizes the components of the framework, its dependencies, roles and responsibilities. Lack of a framework can result in data mismanagement, trusted source issues and threats to data integrity.

Because of their simplicity and ability to support point-to-point data requirements, traditional data transfer approaches are still preferred in some scenarios. However, as you move toward implementing data as a service, effective information metadata management and use of Common Information Model (CIM) is a key critical success factor. Using CIMs can help speed development by enabling you to establish standards and descriptive metadata for information that can be applied to all interfaces, messages, data structures and data transformations to support reuse. A model-driven approach to standardize best practices will also accelerate development and provide for further consistency across interfaces and informational structures. Using this model-driven approach helps reduce the need for transformation, and makes it much easier to design transformations when they are required.