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Nowadays, Big Data is a main component of the world of technology and also a very interesting subject for IT professionals, especially thanks to the exploitable information and the results that companies can glean. However, the creation and generation of such large data sets requires and also requires understanding and having the appropriate set of tools to analyze them in order to obtain the desired information and also to achieve the desired objectives. But to better understand Big Data and the concept of big data, you have to know that the fields of analytics and data science, previously relegated to academia, have become fully fledged elements of business intelligence and Big Data analytics tools.
If we search in dictionaries we will find that data science is defined as follows: Data Science is data science. It’s the discipline and the means by which a company can explore and analyze raw data and transform it into valuable information to solve business problems. Discover the precise definition of the term Data Science, as well as an overview of the skills necessary to become a Data Scientist.
Data Science, is a disciplinary mix of data inference, algorithm development and technology, the goal of which is to solve and find good solutions to very complex analytical problems. At the heart of this great mix is data, the massive amounts of raw information stored on companies' servers. Concretely, data science enables data to be used creatively to generate value for businesses.
Data science offers several advantages to improve the ability to respond to customer needs with the same ease as natively data players, as well as the research and analyzes generated by data science work allow the offer to evolve and transform , to speed up the production and marketing processes for products and services offered by a company or by a community. They relate, for example, to the uses or reactions of customers on these products and services offered. They thus make it possible to rethink the offer, by readjusting it to simplify it, by developing new products, by adapting them or even by accentuating their personalization.
Nowadays, Big Data is a main component of the world of technology and also a very interesting subject for IT professionals, especially thanks to the exploitable information and the results that companies can glean. However, the creation and generation of such large data sets requires and also requires understanding and having the appropriate set of tools to analyze them in order to obtain the desired information and also to achieve the desired objectives. But to better understand Big Data and the concept of big data, you have to know that the fields of analytics and data science, previously relegated to academia, have become fully fledged elements of business intelligence and Big Data analytics tools.
If we search in dictionaries we will find that data science is defined as follows: Data Science is data science. It’s the discipline and the means by which a company can explore and analyze raw data and transform it into valuable information to solve business problems. Discover the precise definition of the term Data Science, as well as an overview of the skills necessary to become a Data Scientist.
- Data Science definition
Data Science, is a disciplinary mix of data inference, algorithm development and technology, the goal of which is to solve and find good solutions to very complex analytical problems. At the heart of this great mix is data, the massive amounts of raw information stored on companies' servers. Concretely, data science enables data to be used creatively to generate value for businesses.
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