I agree completely. I run a company that handles high levels of compute load for financial applications. I often describe what we do as "big compute," not big data, because the data is actually very small in size. OTOH, this tiny bit of data (real-time prices on some 1,000 assets) causes an ENORMOUS amount of computation. Often this distinction doesn't get picked up either, and people might mistakenly classify us as "big data."