I've been doing a bit of research because I'm quite new to Big Data world. Among several other tools or frameworks, I've read about Apache Hadoop and Python for data analysis.
Specifically, I've read that:
Hadoop: allows you to perform any task you want, if it fits the Map-Reduce paradigm. It can add concurrence using a cluster, etc.
SciPy: python based ecosystem for (in fact, a lot of things)...
So my question is
If I've data collected from an environment, and want to correlate the data, calculate means, extract conclusions, etc...
Is SciPy as suitable as Hadoop (or more) to do so?
I'm basically trying to choose between them in order to build a little example, so I wonder which one fits better, or may I be misunderstanding the uses of each one.