Solution

Big data is characterized by its "3 Vs": Volume, Velocity, and Variety. Due to its large size and complexity, traditional databases and analysis tools struggle to manage big data. Instead, big data processing requires frameworks like Hadoop or Spark, designed for distributed storage and parallel processing. The tools enable the management and analysis of massive datasets that may be unstructured or semi-structured, making big data highly valuable for complex analytics and real-time insights across industries. Option A is incorrect because big data is vast, not limited in size. Option B is incorrect as big data often includes unstructured formats, making traditional statistics insufficient. Option D is incorrect since big data usually comes from diverse sources, not manual entries alone. Option E is incorrect because big data generally requires more storage, even if compression is applied.