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There are many data engineers at companies who have to write custom little scripts to take data from spreadsheets into an analytics DB. Thanks for removing som
by psing 5y ago
There are many data engineers at companies who have to write custom little scripts to take data from spreadsheets into an analytics DB.
Thanks for removing some boilerplate from that process for people!
- heresie-dabord 5y ago> Thanks for removing some boilerplate from that process Do you mean "boilerplate" or something else? Because a shell script (e.g. bash with calls to sed, awk, grep, and Perl) is not "boilerplate". It's an implementation. And much more efficient than some of the unstable, high-complexity solutions that claim to be "simple". TBH, the choice of "solution" doesn't matter much for a small dataset. It is of course overkill to run a glorified REPL just to do some math on a small dataset. As datasets grow, the introduction of unstable complexity can cause problems. The tooling that you say is being removed may well be the the fastest and most reliable tools, proven over decades of use.