An integrative modeling of BigData processing - Archive ouverte HAL
Article Dans Une Revue International Journal of Computer Science and Applications Année : 2015

An integrative modeling of BigData processing

Résumé

More than 2.5 exabytes of data are created everyday based on the user information automatically generated over Internet. Social networks, mobile devices, emails, blogs, videos, banking transactions and other consumer interaction, are now driving the successful marketing campaigns, by establishing a new digital channel between the brands and their audiences. Powerful tools are needed to store and explore this daily expending BigData, in order to submit an easy and reliable processing of user information. Expected quick and high quality results are as much important as priceless investments for marketers and industrials. Traditional modeling tools face their limits in this challenge, as the information keeps growing in volume and variety, thing that can be handled only by non-relational data modeling techniques
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Dates et versions

hal-01263341 , version 1 (27-01-2016)

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  • HAL Id : hal-01263341 , version 1

Citer

Hadi Hashem, Daniel Ranc. An integrative modeling of BigData processing. International Journal of Computer Science and Applications, 2015, 12 (1), pp.1 - 15. ⟨hal-01263341⟩
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