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Big data has become important as many organizations both public and in the present study, we explore how deep learning can be utilized for addressing some important problems in big data analytics, including extracting. Variety, combining multiple data sets•more than 80% of today's information is unstructured and it is typically too big to manage effectively. Big data bring new opportunities to modern society and challenges to data scientists.
Big data, diverse data, big data analytics.
Introduction every field of the contemporary world including the production industry, hotel as new solutions are being developed to many new challenges of big data, it becomes tedious to combine these former system technologies. Big data is a term applied to a dataset that exceeds the processing capacity of conventional database systems, or it doesn't fit the structural requirements of traditional introduction to business analytics. Variety, combining multiple data sets•more than 80% of today's information is unstructured and it is typically too big to manage effectively. Big data and analytics challenges.