Big Data Dependability Opportunities &amp; Challenges

Ezzahra, Mdarbi Fatima; Afifi, Nadia; Hilal, Imane

doi:10.1109/icssd47982.2019.9002676

Cited by 1 publication

(2 citation statements)

References 17 publications

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“…Fatima et al [132] introduce in their 8 'Vs' two new ones: Viscosity, and virality. According to our 'Vs', viscosity is inside the variety, and virality is discarded because it can happen with just one tweet or video.…”

Section: Resultsmentioning

confidence: 99%

“…In addition, these data are constantly changing and new systems are being added that either require or modify the way in which existing information is provided to the end user, contrary to the way it was done in the past, where there was only one structured database with a well-defined and slowly changing schema [2]. Some authors call it viscosity due to the fact that we have to use data from different sources, and sometimes it requires a transformation to use it [132]. This one is another of the problems; not every data we need has the same structure or format file if we require it for different sources, such as different governments, enterprises or portals.…”

Section: Varietymentioning

confidence: 99%

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What Is (Not) Big Data Based on Its 7Vs Challenges: A Survey

García

Álvarez-Fernández²

2022

BDCC

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Big Data has changed how enterprises and people manage knowledge and make decisions. However, when talking about Big Data, so many times there are different definitions about what it is and what it is used for, as there are many interpretations and disagreements. For these reasons, we have reviewed the literature to compile and provide a possible solution to the existing discrepancies between the terms Data Analysis, Data Mining, Knowledge Discovery in Databases, and Big Data. In addition, we have gathered the patterns used in Data Mining, the different phases of Knowledge Discovery in Databases, and some definitions of Big Data according to some important companies and organisations. Moreover, Big Data has challenges that sometimes are the same as its own characteristics. These characteristics are known as the Vs. Nonetheless, depending on the author, these Vs can be more or less, from 3 to 5, or even 7. Furthermore, the 4Vs or 5Vs are not the same every time. Therefore, in this survey, we reviewed the literature to explain how many Vs have been detected and explained according to different existing problems. In addition, we detected 7Vs, three of which had subtypes.

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Section: Resultsmentioning

confidence: 99%

Section: Varietymentioning

confidence: 99%