That's it, for a long time, what a lot of companies that jumped on the big data bandwagon didn't realize is that they didn't actually have big data.
I'm sure there's some arbitrary lines that can be drawn, but anything under 1 TB is not big data anymore and can be processed on a single machine.
Other things to consider is data volume though. A popular use case of hadoop was to take e.g. server access logs - high volume data that traditionally you wouldn't hold onto for long - and get something meaningful out of that.
I'm sure there's some arbitrary lines that can be drawn, but anything under 1 TB is not big data anymore and can be processed on a single machine.
Other things to consider is data volume though. A popular use case of hadoop was to take e.g. server access logs - high volume data that traditionally you wouldn't hold onto for long - and get something meaningful out of that.