đđŧđ đđŧ đĻđ°đŽđšđ˛ đŦđŧđđŋ đĸđģđšđļđģđ˛ đđŽđđĩđļđŧđģ đđŋđŽđģđą đļđģ đđģđąđļđŽ: đą đđđđ˛đģđđļđŽđš đ§đļđŊđ
Big data analytics refers to the application of advanced analytics techniques against very large and diverse data sets, including structured, semi-structured, and unstructured data collected from different sources. Big data analysis allows analysts, researchers, and business owners to make faster and more informed decisions using data. Advanced analytics techniques such as text analytics, data mining, predictive analytics, machine learning, statistics, and natural language processing are used by the corporate sector for extracting useful insights from unexplored data sources.
Big data analytics refers to the application of advanced analytics techniques against very large and diverse data sets, including structured, semi-structured, and unstructured data collected from different sources. Big data analysis allows analysts, researchers, and business owners to make faster and more informed decisions using data. Advanced analytics techniques such as text analytics, data mining, predictive analytics, machine learning, statistics, and natural language processing are used by the corporate sector for extracting useful insights from unexplored data sources.
đđŧđ đđŧ đĻđ°đŽđšđ˛ đŦđŧđđŋ đĸđģđšđļđģđ˛ đđŽđđĩđļđŧđģ đđŋđŽđģđą đļđģ đđģđąđļđŽ: đą đđđđ˛đģđđļđŽđš đ§đļđŊđ
Big data analytics refers to the application of advanced analytics techniques against very large and diverse data sets, including structured, semi-structured, and unstructured data collected from different sources. Big data analysis allows analysts, researchers, and business owners to make faster and more informed decisions using data. Advanced analytics techniques such as text analytics, data mining, predictive analytics, machine learning, statistics, and natural language processing are used by the corporate sector for extracting useful insights from unexplored data sources.
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