The document discusses the importance of data quality in real estate, focusing on mapping buildings globally and providing a quality score based on various metrics. It highlights the complexities of real estate data, including addressing constraints and the use of ontologies for data integration. The authors emphasize automation in quality validation and integrating these processes within CI/CD pipelines to ensure data integrity.
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