Geocodificación de direcciones postales cubanas en un entorno Big Data: Geocoding of Cuban postal addresses in a Big Data environment

Ofir Alfonso Cantillo; Eduardo Sánchez Ansola

Authors

Ofir Alfonso Cantillo Universidad Tecnológica de La Habana "José Antonio Echeverría"
Eduardo Sánchez Ansola Universidad Tecnológica de La Habana "José Antonio Echeverría" https://orcid.org/0000-0001-5977-1633

Keywords:

address geocoding; Big Data; Map Reduce; postal address

Abstract

Due to the large amount of digital data available, the creation of systems capable of processing them has become a necessity. Spatial information is not exempt from this and because much of it is in the form of postal addresses, geocoding processes have acquired great importance. Geocoding is the process of converting a postal address into geographic coordinates. One of the approaches currently to process a large amount of data is the technologies associated with Big Data. A problem is considered Big Data when the data to be processed becomes inconvenient for current systems. The objective of this work is to design a geocoding process for Cuban addresses using a Big Data design. The results of this work demonstrate that it is feasible to use Big Data technologies to solve the problem of geocoding because the reduction of response times is achieved with respect to other services in the geocoding of a large number of postal addresses.

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