Abstract
The continuous technological evolution and the significant increase of connected devices in urban cities, has led to an increasing complexity of the sources and variety of data types, creating challenges for cities that wish to become smart cities. If there is no control of these volumes of data of increasing behavior, they will be increasingly uncertain and more difficult to interpret, so it is necessary to know the tools that are available for this purpose. This article contains information about the relationship between the use of Big Data technologies and Smart Cities, highlighting specific the tools that allow an adequate management of data and thus contribute to a better functioning of cities. In the first part the concepts of Smart City and Big Data are covered, together with the requirements and applications of Big Data in the Smart Cities, in the following section we talk about the most common tools that are currently used for control, analysis and processing of large volumes of data, highlighting the advantages and cases for which its implementation would be better, as well as solutions for some of its disadvantages.
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Rodríguez-Molano, J.I., Contreras-Bravo, L.E., López-Santana, E.R. (2018). Big Data Tools for Smart Cities. In: Tan, Y., Shi, Y., Tang, Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science(), vol 10943. Springer, Cham. https://doi.org/10.1007/978-3-319-93803-5_61
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DOI: https://doi.org/10.1007/978-3-319-93803-5_61
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