This project explores the integration of Microsoft Fabric and Bing News data analytics to uncover insights from vast news datasets. Leveraging the robust capabilities of Microsoft Fabric and the rich information repository of Bing News, the project aims to extract actionable insights and identify emerging trends in news coverage. By employing advanced analytics techniques, the project demonstrates how organizations can transform raw data into meaningful narratives, enabling informed decision-making across various domains. The project also highlights the potential of Microsoft Fabric in enhancing data management and facilitating the implementation of artificial intelligence in news analysis. Through real-world examples and practical applications, this project serves as a catalyst for further research and development in the realm of data analytics and news media.

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Harnessing Microsoft Fabric for News Analytics with Azure Bing Search API

  • A. Ganesh,
  • Abhishek G. Sheelvant,
  • Mamtha Balachandra,
  • Shreyan J. D. Fernandes

摘要

This project explores the integration of Microsoft Fabric and Bing News data analytics to uncover insights from vast news datasets. Leveraging the robust capabilities of Microsoft Fabric and the rich information repository of Bing News, the project aims to extract actionable insights and identify emerging trends in news coverage. By employing advanced analytics techniques, the project demonstrates how organizations can transform raw data into meaningful narratives, enabling informed decision-making across various domains. The project also highlights the potential of Microsoft Fabric in enhancing data management and facilitating the implementation of artificial intelligence in news analysis. Through real-world examples and practical applications, this project serves as a catalyst for further research and development in the realm of data analytics and news media.