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Big Data: Current Trends And Best Data Processing Techniques
[Full Text]
AUTHOR(S)
Jorge Jiménez, Angel Ojeda, Juan Valera
KEYWORDS
Big Data, Machine Learning, Data Processing, Deep Learning.
ABSTRACT
As information flow grows, the massive quantity of facts clutters and pile up to unprecedented amounts. Yet all this bulk of data is so diverse, disordered, and structureless, it becomes strenuous to analyze and extract value from it. Information flow and fact creation do not imply necessarily refer to valuable data. Many algorithms have been developed to process this aggregate of data. This article reviews the current definitions of big data, summarizes the presently used machine learning techniques to analyze and process big data, and discusses deep learning techniques in contrast with conventional machine learning practices. As big data tends to irrelevant if it is not properly handled, several deep learning techniques are outlined, summarized to show ways to extract value from vast information sets.
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