𝗧đ—ŧđ—Ŋ 𝟱 𝗠𝗮đ—ŋ𝗸𝗲𝘁 𝗟𝗲𝗮𝗱𝗲đ—ŋ𝘀 𝗗đ—ŧđ—ēđ—ļđ—ģ𝗮𝘁đ—ļđ—ģ𝗴 𝗕đ—ļ𝗴 𝗗𝗮𝘁𝗮 𝗔đ—ģ𝗮𝗹𝘆𝘁đ—ļ𝗰𝘀 đ—ļđ—ģ 𝘁đ—ĩ𝗲 đ—Ļ𝗲đ—ēđ—ļ𝗰đ—ŧđ—ģ𝗱𝘂𝗰𝘁đ—ŧđ—ŋ 𝗮đ—ģ𝗱 𝗘𝗹𝗲𝗰𝘁đ—ŋđ—ŧđ—ģđ—ļ𝗰𝘀 𝗜đ—ģ𝗱𝘂𝘀𝘁đ—ŋ𝘆

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.
𝗧đ—ŧđ—Ŋ 𝟱 𝗠𝗮đ—ŋ𝗸𝗲𝘁 𝗟𝗲𝗮𝗱𝗲đ—ŋ𝘀 𝗗đ—ŧđ—ēđ—ļđ—ģ𝗮𝘁đ—ļđ—ģ𝗴 𝗕đ—ļ𝗴 𝗗𝗮𝘁𝗮 𝗔đ—ģ𝗮𝗹𝘆𝘁đ—ļ𝗰𝘀 đ—ļđ—ģ 𝘁đ—ĩ𝗲 đ—Ļ𝗲đ—ēđ—ļ𝗰đ—ŧđ—ģ𝗱𝘂𝗰𝘁đ—ŧđ—ŋ 𝗮đ—ģ𝗱 𝗘𝗹𝗲𝗰𝘁đ—ŋđ—ŧđ—ģđ—ļ𝗰𝘀 𝗜đ—ģ𝗱𝘂𝘀𝘁đ—ŋ𝘆 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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Big data analytics refers to the application of advanced analytics techniques against very large and diverse data sets.
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