Session

Scalable Sentiment Analysis for Hospitals with OpenAI and Azure Fabric

My presentation will showcase patterns for building solutions on Azure Fabric. As a real-world example, we’ll explore a project we developed during a Microsoft Hackathon. The solution gathers data from the Google Maps API using Spark Notebooks to build the data layer. We’ll walk through how to integrate OpenAI into this pipeline and leverage various components within Azure Fabric to bring everything together.

The session will be a blend of architecture patterns and best practices in Data Engineering that you can apply to your own projects, all presented in a holistic view. We will talk about Fabric, Spark, API, AI, Healthcare, Medallion Structure, SQL, and further. Finally, we’ll also discuss the strengths and current limitations of the rapidly evolving Azure Fabric platform. You will have a lot of very practical insights

Iurii (Yurri) Iurchenko

Sr Data Engineer at OmniData

San Diego, California, United States

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