也注意到了這一點 錯誤的數據模型意味著你可能會讓工程團隊延遲 1-2 個月 尤其是在今天,使用大型語言模型(LLMs)很容易快速產出糟糕的數據設計
Sarim Malik
Sarim Malik2025年7月7日
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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