Which characteristic differentiates big data from traditional data?

Which characteristic differentiates big data from traditional data?

• A. Velocity
• B. Privacy
• C. Structure
• D. Fraud

Answer: (A)

Velocity is what sets big data apart. It refers to the speed at which data is generated, collected, and must be processed to produce timely insights. In big data environments, data streams from sensors, logs, socials, and other sources arrive continuously, requiring real-time or near-real-time ingestion and analysis with scalable architectures. Traditional data, by contrast, is typically gathered and analyzed in batches with longer intervals between capture and insight, so speed is less of a concern. Privacy, structure, and fraud are important considerations in data handling, but they don’t define the fundamental difference between big data and traditional data the way velocity does.

Velocity is what sets big data apart. It refers to the speed at which data is generated, collected, and must be processed to produce timely insights. In big data environments, data streams from sensors, logs, socials, and other sources arrive continuously, requiring real-time or near-real-time ingestion and analysis with scalable architectures. Traditional data, by contrast, is typically gathered and analyzed in batches with longer intervals between capture and insight, so speed is less of a concern. Privacy, structure, and fraud are important considerations in data handling, but they don’t define the fundamental difference between big data and traditional data the way velocity does.