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Understanding the disparity between these concepts is crucial for . So what sets them apart Introduction to Big Data and Data Analytics Difference between Big Data and Data analytics refers to the vast volume of structured semistructured and unstructured data that inundates a business on a daytoday basis. It encompasses data from various sources including social media sensors devices and enterprise applications. On the other hand Data Analytics involves the process of examining data sets to draw conclusions and make informed decisions. It employs statistical analysis machine learning algorithms and other techniques to uncover patterns correlations and insights within data. Understanding Big Data Big Data is characterized by the Vs Volume Velocity Variety Veracity and Value. Volume denotes the sheer amount of data generated Velocity refers to the speed at which data is produced and processed Variety encompasses the different types and sources.