challenge for the past many years, no long-term solutions have been found so far. The term “Big Data” initially referred to huge volumes of data that have the size beyond the capabilities of current database technologies, consequently for “Big Data” problems one referred to the problems that present a combination of large volume of data to be treated in short time. When one establishes that data have to be collected and stored at an impressive rate, it is clear that the biggest challenge is not only about the storage and management, their analysis, and the extraction of meaningful values, but also deductions and actions in reality is the main challenge. Big Data problems were mostly related to the presence of unstructured data, that is, information that either do not have a default schema/template or that do not adapt well to relational tables; it is therefore necessary to turn to analysis techniques for unstructured data, to address these problems.

Tassonomy and Review of Big Data Solutions NavigationBig Data Computing / Pierfrancesco Bellini;Mariano di Claudio;Paolo Nesi;Nadia Rauch. - STAMPA. - (2013), pp. 57-101. [10.1201/b16014-4]

Tassonomy and Review of Big Data Solutions NavigationBig Data Computing

BELLINI, PIERFRANCESCO;DI CLAUDIO, MARIANO;NESI, PAOLO;RAUCH, NADIA
2013

Abstract

challenge for the past many years, no long-term solutions have been found so far. The term “Big Data” initially referred to huge volumes of data that have the size beyond the capabilities of current database technologies, consequently for “Big Data” problems one referred to the problems that present a combination of large volume of data to be treated in short time. When one establishes that data have to be collected and stored at an impressive rate, it is clear that the biggest challenge is not only about the storage and management, their analysis, and the extraction of meaningful values, but also deductions and actions in reality is the main challenge. Big Data problems were mostly related to the presence of unstructured data, that is, information that either do not have a default schema/template or that do not adapt well to relational tables; it is therefore necessary to turn to analysis techniques for unstructured data, to address these problems.
2013
9781466578371
9781466578388
Big Data Computing
57
101
Pierfrancesco Bellini;Mariano di Claudio;Paolo Nesi;Nadia Rauch
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/843108
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