Abstract
The amount of socio-economic data generated every day has grown dramatically in recent years thanks to the widespread use of the internet connection and the increase in the availability of electronic devices. This leads to the production of a huge amount of digital traces of various kinds: photos, emails, call logs, information on purchases made, financial transactions, social interactions network. Big Data are data characterized by volume, speed and variety: they are extracted and processed at high speed and collected in large datasets, which are made up of data from the most varied sources and therefore not only from structured data. Data collection is typically difficult and expensive, both in terms of time and money; instead, the enthusiasm that surrounds Big Data is due precisely to the perception of great ease and speed of access to a large amount of data at low cost. Thence, in this work we show the application of a system architecture aiming to use of Big Data technologies for traceability in food supply chain domain.
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Amato, A., Cozzolino, G., Moscato, V. (2019). Big Data Analytics for Traceability in Food Supply Chain. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_86
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DOI: https://doi.org/10.1007/978-3-030-15035-8_86
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