𝗛đ—ŧ𝘄 𝘁đ—ŧ đ—Ļ𝗰𝗮𝗹𝗲 đ—Ŧđ—ŧ𝘂đ—ŋ đ—ĸđ—ģ𝗹đ—ļđ—ģ𝗲 𝗙𝗮𝘀đ—ĩđ—ļđ—ŧđ—ģ 𝗕đ—ŋ𝗮đ—ģ𝗱 đ—ļđ—ģ 𝗜đ—ģ𝗱đ—ļ𝗮: 𝟱 𝗘𝘀𝘀𝗲đ—ģ𝘁đ—ļ𝗮𝗹 𝗧đ—ļđ—Ŋ𝘀

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.
𝗛đ—ŧ𝘄 𝘁đ—ŧ đ—Ļ𝗰𝗮𝗹𝗲 đ—Ŧđ—ŧ𝘂đ—ŋ đ—ĸđ—ģ𝗹đ—ļđ—ģ𝗲 𝗙𝗮𝘀đ—ĩđ—ļđ—ŧđ—ģ 𝗕đ—ŋ𝗮đ—ģ𝗱 đ—ļđ—ģ 𝗜đ—ģ𝗱đ—ļ𝗮: 𝟱 𝗘𝘀𝘀𝗲đ—ģ𝘁đ—ļ𝗮𝗹 𝗧đ—ļđ—Ŋ𝘀 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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