This seems to be a response to Amy's discussion Data Scientist vs. Statistician.
Some short thoughts:
- Does keyword popularity define the usefulness of a discipline?
- Often the statistician needs to create tools in order to get the most out of small samples. The techniques that are developed are probably less useful for big data.
- Those statisticians that are developing techniques without data are often creating the tools that will be used in the future. Think of how number theory was thought of as a purely theoretical pursuit and is used in every cryptographic application.
- I'm not even sure that big-data is a statistical problem unless the 'sub-populations' become small in sample-size.