Big data is a term for massive data sets having large, more varied and complexstructure with the difficulties of storing, analyzing and visualizing for furtherprocesses or results. The process of researchinto massive amounts of data to revealhiddenpatterns and secret correlationsnamedas big data analytics. These useful informations for companies or organizations with the help of gainingricher and deeper insights and getting an advantage over the competition. For thisreason, big data implementationsneed to be analyzed and executedasaccuratelyaspossible. Thispaperpresents an overview of big data’scontent, scope, samples, methods, advantages and challenges and discusses privacy concern on it. Big data is a new driver of the world economic and societalchanges. The world’s data collectionisreaching a tippingpoint for major technologicalchangesthat can bring new ways in decisionmaking, managingourhealth, cities, finance and education. While the data complexities are increasingincludingdata’s volume, variety, velocity and veracity, the real impact hinges on ourability to uncover the ‘value’ in the data through Big Data Analytics technologies. Big Data Analytics poses a grandchallenge on the design of highlyscalablealgorithms and systems to integrate the data and uncover large hiddenvalues from datasetsthat are diverse, complex, and of a massive scale. Potentialbreakthroughs include new algorithms, methodologies, systems and applications in Big Data Analytics thatdiscover useful and hiddenknowledge from the Big Data efficiently and effectively.
Le categorie giuridiche dinanzi alla sfida dei Big Data / Marandola, Daniele. - (2020 Apr 21).
Le categorie giuridiche dinanzi alla sfida dei Big Data
MARANDOLA, Daniele
2020-04-21
Abstract
Big data is a term for massive data sets having large, more varied and complexstructure with the difficulties of storing, analyzing and visualizing for furtherprocesses or results. The process of researchinto massive amounts of data to revealhiddenpatterns and secret correlationsnamedas big data analytics. These useful informations for companies or organizations with the help of gainingricher and deeper insights and getting an advantage over the competition. For thisreason, big data implementationsneed to be analyzed and executedasaccuratelyaspossible. Thispaperpresents an overview of big data’scontent, scope, samples, methods, advantages and challenges and discusses privacy concern on it. Big data is a new driver of the world economic and societalchanges. The world’s data collectionisreaching a tippingpoint for major technologicalchangesthat can bring new ways in decisionmaking, managingourhealth, cities, finance and education. While the data complexities are increasingincludingdata’s volume, variety, velocity and veracity, the real impact hinges on ourability to uncover the ‘value’ in the data through Big Data Analytics technologies. Big Data Analytics poses a grandchallenge on the design of highlyscalablealgorithms and systems to integrate the data and uncover large hiddenvalues from datasetsthat are diverse, complex, and of a massive scale. Potentialbreakthroughs include new algorithms, methodologies, systems and applications in Big Data Analytics thatdiscover useful and hiddenknowledge from the Big Data efficiently and effectively.File | Dimensione | Formato | |
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Tesi_dottorato_Unicas_32_ MARANDOLA_Daniele.pdf
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