A library consortium compares nightly batch SQL reports on catalog tables with a new workload that analyzes clickstreams and sensor feeds together. How do those workloads differ in Big Data terms?
Select an answer to reveal the explanation.
Short Explanation
Picture two kitchens: one cooks from a neat recipe card every night, the other juggles live streams from a dozen messy counters. Catalog SQL is the recipe-card job; clickstreams plus sensors are the multi-source mash-up that stretches ordinary tools. Structured data can still appear in Big Data—it just is not the whole story anymore.
Full Explanation
Conventional data work typically emphasizes structured sources and scheduled reporting that fit classic RDBMS patterns. Big Data workloads often combine heterogeneous, high-scale sources—such as clickstreams and sensors—that exceed those patterns in volume, velocity, or variety. Structured tables are not banned from Big Data ecosystems; the distinction is workload shape and tooling limits, not a ban on SQL or a claim that every SQL report is already Big Data.