ne must have chaos to be able to give birth to a dancing star

Arnaldo Gunzi
Towards Data Science
3 min readJun 24, 2017

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“I am a disciple of the prophet Dionysus ” — Friedrich Nietzsche

Information Technology recommendations on data structures: the more structured, the more clean and standardized, the better. It increases productivity, makes everything more organized. Standards diminish rework and confusion with data. Excel spreadsheets are the worst thing in the world, because the user will create columns, insert empty lines, change the header: it will be a mess.

This discourse seems perfect.

But, also as Dionysus’ disciple, I say NO.

  • The more chaotic the database, the better.
  • The dirtier, the better.
  • The more the user messes up, the better.

Apollo x Dionysus

The German philosopher Friedrich Nietzsche had the remarkable ability to combine philosophical ideas with a poetic style. One of his most famous metaphors is the contrast between the Greek gods Apollo and Dionysus.

Apollo is the god of the Sun, Harmony, Medicine. He represents the Order: the beautiful god, tall, strong, symmetrical, organized. He is the god of the arts, giving precise shapes to the sculptures, creating order in chaos.

Dionysus is the god of wine. He represents the Chaos. Fat, short, ugly, drunk, crooked, everything in him is bad. He is the ecstasy, the drunkenness. Born of hunger and pain, he reborns each spring and spreads joy wherever he goes.

Order x Chaos

The order seems better than the chaos. But the fact is that we can bring order only to a very small part of the world. The universe, infinitely greater, will never be known by humans.

I imagine the two gods as two arms: chaos and order, complementing each other. We should have the humility to recognize that there are premises that will always be out of any model .

I have a very strong Apollonian side, by my background in engineering, math Olympiads, etc. But I also have a very strong Dionysian side, which makes me very skeptical of everything that wants to organize too much, optimize too much, giving little room to the unforeseen.

Why I like chaotic data structures?

I work extensively with innovation, creating new tools, new processes, new ideas.

When working with a new project, the client don’t have the slightest idea of ​​what he wants. He knows only the symptom (say, analysts lose too much time to generate the report), and assumes that he knows the solution (automatically generate a report).

But is this the real problem? No one knows, this must be discovered.

Sometimes, he even does not need the report he thought he needed. Anyway, in 100% of cases, it’s useless to structure databases to try to solve efficiently the wrong problem.

As Peter Drucker says:

There is no greater waste than to solve with great efficiency a problem that didn’t needed to be solved.

The recommendation of structured databases is only for mature processes, those already established and that will change little.

For innovations, the more prototypes, the better. The more quick-wins, simple, fast, flexible and therefore chaotic, the better. The dirtier the excel, the better. The more the client messes up, the better.

No new music arises from the order. No new picture emerges of order. No new idea arises from the order. Only from chaos.

One must have chaos to be able to give birth to a dancing star” — Friedrich Nietzsche

Other writings: https://medium.com/@arnaldogunzi

Main blog: https://ideiasesquecidas.com/

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Project Manager - Advanced Analytics, AI and Quantum Computing. Sensei of Analytics.