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How to Build an AI-Powered Weather ETL Pipeline with Databricks and GPT-4o: From API To Dashboard
https://towardsdatascience.com/how-to-build-an-ai-powered-weather-etl-pipeline-with-databricks-and-gpt-4o-from-api-to-dashboard/(towardsdatascience.com)A complete ETL (Extract, Transform, Load) pipeline is built using Databricks to process weather data. The process begins by extracting current weather information for New York City from the OpenWeatherMap API. In the transformation stage, the data is cleaned, and OpenAI's GPT-4o-mini model is utilized to generate personalized dressing suggestions based on the temperature. Finally, the enriched data is loaded into the Databricks Unity Catalog as a structured Delta table, ready for use in an analytics dashboard.
0 points•by chrisf•1 hour ago