database naming conventions — ©What's in a name/https://saidulhaque.com/

Introduction

Before AI, naming database attributes was a time-consuming creative endeavor. Now, with LLMs like Gemini, I effortlessly generate concise and meaningful names.

Database Column Naming

For example, I recently used a prompt to define a column capturing customer tenure:

"Turn this business metric description into a concise and short database column/attribute name. 𝘎𝘪𝘷𝘦 𝘪𝘵 𝘢𝘯 𝘢𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘴 𝘥𝘦𝘴𝘤𝘳𝘪𝘱𝘵𝘪𝘰𝘯. 𝘤𝘢𝘱𝘵𝘶𝘳𝘦 𝘵𝘩𝘦 𝘵𝘪𝘮𝘦 𝘵𝘩𝘦 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳 𝘩𝘢𝘴 𝘣𝘦𝘦𝘯 𝘢𝘤𝘵𝘪𝘷𝘦"

Database Column Naming Outcome:

Column/Attribute Name: Customer_Lifetime_Days
𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻: This attribute represents the number of days since the customer's first recorded activity with the company. It provides insights into customer tenure and can be used for segmentation, churn prediction, and lifetime value analysis.

As analytics professionals, leveraging LLMs like Gemini boosts productivity and enhances communication.

Conclusion

In conclusion, the advent of LLMs like Gemini has revolutionized the process of naming database columns. By providing clear and concise instructions, developers can quickly generate meaningful and informative names. This not only improves code readability and maintainability but also enhances collaboration and communication within the analytics team. By embracing these AI-powered tools, we can streamline our workflows and unlock new levels of efficiency in data management and analysis.

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