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El modelo de datos incorrecto significa que has potencialmente retrasado al equipo de ingeniería 1-2 meses
Especialmente hoy en día, donde es muy fácil generar rápidamente diseños de datos deficientes con llms

7 jul 2025
Shipping velocity is directly proportional to data structure quality, especially in the age where UI can be increasingly treated as an ephemeral asset.
More practically, this includes:
- the type of store you use e.g. relational, graph etc.
- the way you structure your data into entities and relationships
- the way you capture information for e.g. you might want to store a status as a boolean (e.g. is_disabled) or you could choose to infer this info from a timestamp (e.g. disabled_at), both have pros and cons
- the way you connect cross-platform datasets e.g. database, storage, logs, etc.
- the way you structure your API, construct queries and consume data
Being data-first is a cheat code to increasing your shipping velocity. Bad data decisions can be extremely painful to undo and when you start to see them clearly, you can never go back.
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