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BIG DATA, LITTLE DATA

机译:大数据,小数据

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摘要

In the first of a series of data-focused articles, Kirsten Tisdale explores big benefits in little data. There's a lot written about the hot topic of big data - the massive volumes of data that are too large or complex to be dealt with by traditional processing. Plainly, if you have absolutely masses of fast-growing, and possibly unstructured, data and the AI to deal with it, that's great. And by the way, while we're on the subject of definitions, medium data is data sets that are too large to fit on a single machine, but don't require huge numbers of them.
机译:在一系列数据集中的文章中,Kirsten Tisdale探讨了小数据中的大益处。 关于大数据的热门话题写了很多 - 通过传统处理来处理太大或复杂的大量数据。 显然,如果你有绝对的快速增长,并且可能是一个非结构化的,数据和AI来处理它,那就太好了。 顺便说一句,虽然我们在定义的主题上,中等数据是太大而无法适合单个机器,但不需要大量的数据集。

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