{"id":12832,"date":"2012-12-31T11:56:18","date_gmt":"2012-12-31T11:56:18","guid":{"rendered":"https:\/\/www.techopedia.com\/definition\/large-scale-data-analysis\/"},"modified":"2014-03-16T17:42:03","modified_gmt":"2014-03-16T17:42:03","slug":"large-scale-data-analysis","status":"publish","type":"definition","link":"https:\/\/www.techopedia.com\/definition\/28987\/large-scale-data-analysis","title":{"rendered":"Large Scale Data Analysis"},"content":{"rendered":"

What Does Large Scale Data Analysis Mean?<\/span><\/h2>\n

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.<\/p>\n

Techopedia Explains Large Scale Data Analysis<\/span><\/h2>\n

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.<\/p>\n","protected":false},"excerpt":{"rendered":"

What Does Large Scale Data Analysis Mean? 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. 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