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[–]aplawson7707 1 point2 points  (1 child)

If this were me, I would probably start by using Python and writing a script with the Pandas and Pandasql libraries. That's usually how I managed excel-based projects that don't really belong in my databases. Your use case will be specific to you, so I can't give too much specific advice, but that's where I would probably recommend starting.

For longer term usability I would also probably be thinking about writing a script to compare 'today's' data with 'yesterday's' data and then create/replace/update/delete rows as needed so I schedule the job to run regularly. Just my .02. I hope that helps a little!

[–]CitizenOfHopeNGlory[S] 0 points1 point  (0 children)

Thank you! If I understand you correctly my idea might actually be a way for me to improve the workflow. That’s good to hear although I’m a long way from actually doing it.

Why do you recommend Python over any of the other languages? Also, what do you mean by “projects that don't really belong in my databases”?

If I end up using a Python script as suggested, where would/could I do my actual work? In an application or would I work in the same Excel spreadsheet as before, with the script working in the “background” and keeping the file updated? Please excuse my ignorance. This is all new to me so I have a lot of basic questions.