What Are Big Data: Concrete Examples Of Everyday Life

The term Big Data is often used without knowing its true meaning. Here’s what it means and what it represents in everyday life.

We hear more and more often about Big Data, but even more often we realize that those who use this expression do not know its meaning very well. For this reason, it is legitimate to ask ourselves what it is, why they are so recurrent in online and offline printing, especially those of a marketing and IT nature, and what it means that Big Data represents an evolution for different sectors.

  • the creation of models to analyze data from living things in the life sciences; and so much more.
  • Read Also : Machine Learning & Its Applications

    A Problem Of Big Data, The Sharing Of Information

    A final example, perhaps the most fitting, is the project conducted by Google. Mountain View, by analyzing the groups of search terms typed by users on its engine, was able to predict (only in 2008 ) the advancement of influenza outbreaks in the US territories faster than the Ministry of Health itself had failed to do using the hospital admission records of public and private healthcare facilities.

    This all sounds so science fiction, but, in reality, it’s only a very small fraction of what Big Data could do.

    As simple as it may seem, the evolution of Big Data is not so within reach of humanity. The pre-eminent obstacle to overcome is the distrust of companies, research centers, and some scientists to share data on which Big Data could work. As a demonstration of this, just think of the Universities where some studies are carried out, whose data and original working material are not given free access if you are not part of the team of co-authors.

    Thus, the field of medicine represents the one where perhaps there is the greatest waste of data and the worst consequences: although the means provided by Big Data exist, millions of people continue to die every day, also because data is not shared.

    Having overcome the distrust and ignorance in this sense, Big Data can better support the collection, classification, analysis, and synthesis of data in a particular sector, offering valuable information that goes beyond simple raw data.

    Tech Gloss
    Tech Gloss
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