Explicit Measures Podcast 417: Is Now The Time for Data Scientists to Switch to Fabric?
Apr 22, 2025
In this lively discussion, data scientist Ginger Grant shares her insights on the evolving world of data science within the Microsoft ecosystem. The conversation delves into the timely transition for data scientists to embrace Fabric and its features like enhanced data connectivity and user experience improvements. They tackle the challenges of data accessibility and adoption, emphasizing the need for custom integrations. Ginger highlights the significance of understanding raw data and shares cautious optimism about the future of data science in Microsoft Fabric.
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Raw Data Preferred by Data Scientists
- Data scientists prefer raw data layers, like Fabric's bronze layer, over curated ones for flexibility.
- This supports iterative experimentation before formalizing models into production pipelines.
Data Science Hypothesis Testing Example
- Ginger shared experience debunking an insurance hypothesis using data science analytics.
- She emphasizes the exploratory nature of data science resulting in frequent disprovals of initial theories.
Data Scientists' Isolated Workspace
- Data scientists often work in isolated, less-accessible environments within organizations.
- Their tooling and languages can be obscure to other business units, creating a 'dark room' effect.