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.
Author: Alex Woodie