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The Most Common Purpose of Big Data Is to Produce Small Data

Imagine using a restaurant locater on your smartphone. With a few taps, it lists the Italian restaurants located within a 10-block radius of your current location. The database being queried is big and complex (a map database, a collection of all the restaurants in the world, their longitudes and latitudes, their street addresses, and a set of ratings provided by patrons, updated continuously), but the data that it yields is small (e.g., five restaurants, marked on a street map with pop-ups indicating their exact address, telephone number, and ratings). Your task comes down to selecting one restaurant from among the five and dining thereat.

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