Here again, larger data files can present more opportunities for defects.

And as companies move to fewer, larger data centers to cut costs, they often require more software.

A technique that has been used in business management for a long time is the categorization of large data into groups.

We ran a battery of tests with small, medium, and large data sets.

Performs well with large data in a short time.

However, more recent research by labor economists takes advantage of new, very large data sets and has produced different results.

It's not like large data centers are an unknown quantity.

Social scientists could tackle these large data sets only after the 1960's, when powerful computers became widely available.

And because this is such a large data set, the study brings the subject to public attention.

Although very fast on-line techniques exist, their performance on large data is unacceptable.