Big Data is one of the trending topics in information management, marketing and also in healthcare. Big Data describes a new generation of technologies and architectures that allow us to extract value from massive data volumes and types by enabling high-velocity capture, discovery and analysis of distributed data. Big Data is characterized by the so-called four V’s: volume and complexity of data, velocity of collecting, storing, processing and analyzing data, variety in relation with different types of data (structured, unstructured and semi- structured) and veracity or ‘data assurance’ about data quality, integrity and credibility [1,2] The International Medical Informatics Association (IMIA) working group on “Data Mining and Big Data Analytics” defined Big Data as data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it [3]. Nevertheless, it is essential to consider that several aspects of the concept and its application can vary by domain, depending on what kinds of software tools are available in each case and what size and types of datasets are more common in a particular field, each type of Big data requires particular analysis methods [4].
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