List and describe four of the most critical success factors for Big Data analytics.
Data is nothing but the information that is available everywhere in different forms. It can be number, alphabet or symbols that are unorganized in structure which forms ideas or objects. Example experimental data that is collected by observation and recording for scientific research.
Big data analytics is nothing but large data sets that are used to analyze in order to establish the trends and patterns which influence behavior and interactions. These data are both structured and unstructured and includes large amount of data related to daily business activities. These data are analyzed to take informed business decisions.
The four of the most critical success factors for Big Data analytics include: -
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