Big Data term

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Multiple Choice

Big Data term

Explanation:
Big Data refers to data sets that are so large and complex that traditional data-processing tools struggle to handle them. It often comes from many different sources and includes both structured and unstructured data, moving at high speed and requiring scalable storage and analysis to extract useful insights. The idea behind Big Data is to uncover patterns, trends, and correlations that aren’t obvious in smaller data sets. The description “data collected from multiple sources to reveal patterns or trends” captures what Big Data analytics aims to do, but the term that encapsulates this phenomenon is Big Data itself. Information is data that has meaning, while data are raw facts; Big Data is about the scale, variety, and velocity that enable deeper analysis to reveal patterns and trends.

Big Data refers to data sets that are so large and complex that traditional data-processing tools struggle to handle them. It often comes from many different sources and includes both structured and unstructured data, moving at high speed and requiring scalable storage and analysis to extract useful insights. The idea behind Big Data is to uncover patterns, trends, and correlations that aren’t obvious in smaller data sets. The description “data collected from multiple sources to reveal patterns or trends” captures what Big Data analytics aims to do, but the term that encapsulates this phenomenon is Big Data itself. Information is data that has meaning, while data are raw facts; Big Data is about the scale, variety, and velocity that enable deeper analysis to reveal patterns and trends.

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