Data Validation and Quality Assurance with FME（FME数据验证和质量保证）.pdf

Technology Brief Data Validation and Quality Assurance with FME First, Some Background Mark Stoakes, head of the Professional Services department at Safe Software, recently gave a presentation on FME and its use in data validation and Quality Assurance. This article provides a summary of the presentation. Mark began his presentation by acquainting the team with the ISO 19100 series of international standards that define quality requirements for geographic data. How does FME’s data validation functionality measure up against these standards? As a platform designed specifically for spatial ETL, FME provides a superior tool for managing data quality. Taken together, FMEs data model restructuring capability, FME Workbenchs graphical interface for easy control of the data restructuring process, and the Universal Viewer application for checking data at different stages of the transformation, all combine to provide powerful and eminently user-friendly data validation capability. However, not all QA issues are equal – some are much more challenging to overcome than others. For a quick comparison, the following tables summarize how easily different feature geometry validation and attribute validation challenges can be addressed with FME. The degree of difficulty of each fix is indicated by the number of checkmarks, as follows: In most cases, the problem is easy to address with FME Problems can be addressed with careful configuration of the data transformation Advanced FME skills are needed. In these cases, for instance, data validation might require deconstruction of the features, checking their orientation, and reconstruction of the features ? FME’s ability in this area has not yet been assessed. Table 1: Meeting ISO Standards for GIS Data Validation – a Comparison of the Degree of Difficulty of Addressing Geometry Issues with FME