Which of the following scenarios most justifies the use of Big Data over Traditional Data?

Explanation: Big Data solutions are ideal for real-time data streams, such as those generated by IoT devices in smart cities. These applications involve massive amounts of data flowing continuously, requiring tools like Apache Kafka or Spark Streaming for real-time processing. Big Data handles high velocity, variety (structured and unstructured data), and volume, enabling efficient resource optimization, predictive maintenance, and analytics. This makes it suitable for dynamic and large-scale systems. Option A: Relational databases can handle small-scale accounting systems; Big Data tools are unnecessary. Option B: Local surveys typically generate small datasets, manageable with traditional analytics tools. Option D: Inventory tracking in a single retail store does not require Big Data's scalability. Option E: Transaction logs for a single branch are better suited for traditional data systems.