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Large scale data analysis is the process of applying data analysis techniques to a large amount of data, typically in big data repositories. It uses specialized algorithms, systems and processes to review, analyze and present information in a form that is more meaningful for organizations or end users.
Large scale data analysis is a broad term that encompasses a series of different tools and systems to process big data. Typically, large scale data analysis is performed through two popular techniques: parallel database management systems (DBMS) or MapReduce powered systems. The parallel DBMS system requires that the data be in a DBMS supported schema, whereas the MapReduce option supports data in any form. Moreover, the data extracted or analyzed in large-scale data analysis can be displayed in various different forms, such as tables, graphs, figures and statistical analysis, depending on the analysis system.