BIG DATA ANALYTICS. CONCEPTS AND TOOLS

Today's data analysis requires the use of statistical techniques to learn from data, highlight patterns and anomalies, predictions and professionals who know how to use them. The use of Big Data technologies not only allows us to increase processing capacity, it is also about finding those ideas that allow us to obtain the knowledge embedded in the data, as long as we have the profiles and experience to carry it out.

For this reason, Analytics techniques (essentially Data Mining and Business Intelligence) and Big Data go hand in hand for the optimal exploitation of information. Professionals, with skills in mathematics, statistics and computer engineering, who are able to extract the maximum value from the organisation's data through Analytics, must work together with optimal Big Data infrastructures. The management and analysis of big data, structured and unstructured, applied in fields such as scientific research, health, security, social networks or media, among others, is a unique tool for companies to gain competitiveness and improve the life of citizens. This tool can only be optimised with the combined application of Analytics and Big Data techniques.