Integrating spatial and non-spatial data from diverse sources often presents many technical and non-technical challenges. While the creation and adoption of OGC and other open standards have helped provide a basis for resolving these issues, successfully executing on a spatial data infrastructure (SDI) project is no small task. To succeed, not only must the project architecture be technically sound, it must also have minimum impact on both data providers and consumers. As hierarchical XML/GML schemas emerge as the exchange format of choice, an additional layer of complexity is added to the mix.
One key to success for SDI initiatives is minimizing the impact on stakeholders, providers, and consumers to promote a high level of participation and adoption. And that's why data transformation is the key to any SDI. Restructure and reformat data on-the-fly to meet the specifications of the destination data model - while leaving the original source schemas and data untouched. FME® enables:
Multiple source data model and format reconciliation
Bi-directional processing of relational GIS data to and from object-structured XML schemas
Data and schema validation
Automated data management and distribution, including web services