Revista de Cercetare si Interventie Sociala

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Big Questions on Big Data

Transformational Leadership and Performance in the Romanian Public Administration


Dumitru OPREA

Cod: ISSN: 1583-3410 (print), ISSN: 1584-5397 (electronic)
Dimensiuni: pp. 112-126

How to cite this article:

Oprea, D. (2016). Big Questions on Big Data. Revista de Cercetare si Interventie Sociala, 55, 112-126.


The present paper aims to explore the Big Data concept in order to answer the question whether this is a necessity or a hidden agenda to promote disrupting new technologies. It was ascertained that, unlike the traditional data, the new data deluge would have special characteristics; therefore they would be completely new. The performance of the current technologies could be enhanced by using the concepts of bionic data and abionic data. And this way, many of the abionic data would become bionic data, through the use of IoT, Big Data Analytics and Big Data Technologies. The analysis of Big Data definitions delivers three types of statements: the new avalanche of data has become uncontrollable; the current technologies, including the software for relational databases management, are unable to cope with the new requirements; new technologies are required to access and process the new types of semi-structured and unstructured data. In our opinion, the characteristics of traditional data cover also those of the Big Data. The characteristics described by words beginning with the letter V do not refer to data, but to Big Data Analytics and Big Data Technologies. Both are extensions of previous data analysis and existing technologies. Therefore, the concept of Big Data promotes the disruption process, embodied in new types of data, analysis models and technologies. The major changes in our society in the last decades are so dramatic that the previous global, national or organizational information systems are easily categorized as traditional systems. Are they becoming the target of the disruption phenomenon due to new technologies?.


Big Data, disruption process, bionic data, abionic data, V’s Big Data characteristics.

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