An Integrative Modeling of BigData Processing

نویسندگان

  • Hadi Hashem
  • Daniel Ranc
چکیده

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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عنوان ژورنال:
  • IJCSA

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2015