For any small data set, the inefficiencies and Library Hell of $tooling don't matter... much. For any non-trivial data set, the efficiency and internal consist

For any small data set, the inefficiencies and Library Hell of $tooling don't matter... much. For any non-trivial data set, the efficiency and internal consistency of $tooling is critical. Throwing stupendous hardware resources at a problem because the $tooling is unstable rubbish is the wrong approach. For any non-trivial data set, the data must have a cohesive reason to exist. In other words... Big Data Garbage In, Big Data Garbage Out. Telemetry is often BDGI.