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power bi

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2020-Q1 2026-Q1

Activities

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Session interactive dédiée aux capacités conversationnelles de Power BI et de Microsoft Fabric, avec activation de Copilot, grounding des données et création d’agents pour les utilisateurs métiers. Bonnes pratiques pour sécuriser et contextualiser les réponses générées par l’IA, éviter hallucinations et fuites de données.

Explora paso a paso cómo funciona la Time Intelligence basada en calendario en Power BI y cómo combinarla con User Defined Functions para mejorar la eficiencia y la mantenibilidad de los modelos. Ideal para quienes quieren entender a fondo esta capa de inteligencia temporal y aplicarla a escenarios reales.

Esta sesión presenta la ingeniería detrás de un modelo semántico en Power BI y Microsoft Fabric. Incluye cómo estructurar un modelo estrella con más de un millón de filas, comparar conectores Import, DirectQuery y Composite con Performance Analyzer, y analizar el impacto en la latencia. También comparte estrategias prácticas para reducir la cardinalidad, usar agregaciones, materializar tablas en Lakehouse y diseñar perspectivas para facilitar la vida del usuario final.

Discover the potential of scripts and programmatic access to semantic model metadata. Get inspiration about what's possible, and take home specific examples that can boost your productivity. In this session, Daniel will assume the role of a data modelling wizard, throwing incantations and spells in the form of Tabular Editor C# scripts that can generate model documentation, clean up your model, and unlock advanced DAX modelling techniques that would otherwise be extremely tedious and time consuming.

Data silos slow down insights, and moving data across systems can be costly and complex. With Microsoft Fabric Mirroring, you can now make your external data instantly available inside Fabric—without complex ETL pipelines or duplication overhead.

This session will introduce the core concepts of Fabric Mirroring, show how it works behind the scenes, and demonstrate how to quickly connect to popular sources like SQL, Snowflake, and even files such as Excel.

We’ll explore how Mirroring integrates with OneLake, the SQL Endpoint, and Power BI, giving you a single, consistent experience across your analytics stack.

Whether you’re a business analyst, data engineer, or architect, you’ll walk away understanding how Fabric Mirroring helps you simplify data access, reduce latency, and unlock more value from your existing investments.