Lists

When to Hadoop, and When Not To

There’s an abundance of interest in Hadoop, and for good reason–the open source framework has changed how we approach processing and storing very large, diverse, and fast-moving data sets, i.e. “big data.”

And while there is a movement to turn Hadoop into a general-purpose processing platform, there are certain applications where Hadoop makes more sense than others. Here are five circumstances when you should use Hadoop, and five when you shouldn’t.

Source: datanami.com
Author: Alex Woodie

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