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Data Validation and QA

Data Validation and QA

Techniques and tools for validating data quality and enforcing rules within FME workflows

Data Validation and QA Articles

NENA Next Generation 9-1-1 Workflows in FME
Tutorial: Data Validation and QA with FME
Data QA: Identifying Spikes and Outliers with FME
Data QA: Identifying Self-Intersections with FME
Data QA: Identifying Duplicate Features with FME
Data QA: Identifying Consecutive Duplicate Vertices with FME
Data QA: Identifying Non-Consecutive Duplicate Vertices with FME
Data QA: Identifying Duplicate Attribute Values
Data QA: Identifying Short Line Features
Data QA: Identifying Small Polygon Features
Data QA: Identifying Features Closer than a Minimum Distance
Data QA Identifying Sliver Overlaps and Gaps in Polygon Coverage
Data QA: Identifying Bad Topology in Linear Networks
Data QA: Identifying Invalid Spatial Relationships
Data QA: Identifying Invalid Geometry Types
Data QA: Invalid Spatial Schemas
Correcting Topological Errors

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