SemPy offers many possibilities with Semantic Models in Microsoft Fabric, some of which are remarkably effective and simplify some tedious tasks. As Data Analytics Developers, we often debate the best naming conventions. However, business users expect us to set aside our fixation on naming conventions and create more readable outputs with a simple design. When we create our models for Power Users, Self-Service BI users, or Power BI designers, they need simple, explainable nam

Cloning a semantic model or report in Power BI isn’t always recommended—but sometimes, it’s the smartest move. Whether you’re juggling multiple environments or building templates for different domains, this step-by-step guide shows how to clone semantic models and reports with Python using sempy_labs, and rebind them with ease.