Modelo de integración de BIG GEOSPATIAL data al proceso de actualización catastral: un estudio con la plataforma de código abierto APACHE SEDONA.

Abstract

This research proposes an enterprise data architecture model to integrate Big Geospatial Data into the cadastral update process. The model is developed based on the TOGAF framework, using the ADM method represented through the ArchiMate language, which enables the structuring of the architecture in layers and the alignment of technology with business processes. The Big Data paradigm encompasses a broad field of knowledge that can be applied to the Multipurpose Cadastre. This project specifically addresses the Cadastral Update process, which is characterized and integrated within the scope of Big Geospatial Data for the construction of the model. Likewise, an operational task within the sub-processes of the cadastral update namely, the capture and processing of vector geospatial data associated with the urban planning regulations of properties in Bogotá D.C. is adopted as a case study. This approach makes it possible to evaluate the performance of the Big Geospatial Data tool Apache Sedona in comparison with traditional tools used for geospatial data processing and analysis.