Which of the following is a key distinction between Big Data and Traditional Data in the context of data analysis?

Explanation: Big Data refers to datasets that are so large, complex, and varied that traditional data management and analysis methods are insufficient. The defining features of Big Data are the three Vs : Volume , Variety , and Velocity . This means that Big Data involves processing massive volumes of data, handling data from diverse sources and formats (structured, unstructured, and semi-structured), and analyzing data in real-time or near real-time. In contrast, Traditional Data typically involves smaller datasets with fewer complexities in format and storage, often processed in batches. The scale, variety, and speed at which Big Data is processed are what differentiate it from traditional data management systems. Option A: Big Data includes both structured and unstructured data, while Traditional Data typically involves structured datasets. Option B: Both Big Data and Traditional Data can be stored in cloud or local databases, depending on the use case, so this is not a defining difference. Option D: Both Big Data and Traditional Data can be used for both historical and predictive analysis, depending on the application. Option E: Big Data is used across a wide range of industries, not just e-commerce, and Traditional Data is used in various sectors, including healthcare, finance, and government.