The Impact of Big Data on Statistical Analysis Methods
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Published:
Sep 2, 2024
Keywords:
big data, statistical analysis methods, cutting-edge methods, challenges, enormous information, datasets, distributed technologies, Hadoop, Spark, scalability, parallel processing capability, secondary analysis, revolutionized, data analysis
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Abstract
Big data's revolutionary effects on statistical analysis are the subject of this dissertation, whichalso examines the cutting-edge methods and strategies required to realize its full potential and overcomeits inherent challenges. The materials and approach engaged with involving enormous information forthe factual examination have been talked about in this part. As far as materials, large information alludesto immense, confounded datasets that are regularly excessively tremendous for customary informationhandling methods to deal with. When dealing with massive amounts of data, distributed technologiesand systems like Hadoop and Spark are frequently utilized. The scalability and parallel processingcapability of big data technology are crucial to statistical analysis. The impact of big data on statisticalanalysis techniques is the subject of secondary analysis. The inclusion of big data in statistical analysismethods has revolutionized the field of data analysis.
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