Bruno Mairos

Bruno Mairos Ferreira is a BI Specialist (Data & BI Solutions), currently lives in Porto, Portugal and has been working @DevScope, a Gold Data Analytics Microsoft Partner, for the last 10 years. His main focus are Microsoft Fabric, Power BI, Data Warehousing with Azure Data Lake or SQL Server and other tools from the Microsoft BI stack. He loves spending time with his family, solving strange but challenging problems and playing padel and soccer.

Proposed Sessions for 2026

Building the Fabric Guardrails: A Governance Hands-On Guide

A hands-on guide to Microsoft Fabric governance: structure, security, monitoring, and resource management strategies to implement guardrails that scale and are easy to enforce.

Dynamic UX, Deadly Performance? Balancing Interactive Experience with Model Efficiency

Flexible and complex reports shouldn't mean slow reports. This session examines the performance impact of Field Parameters, UDFs, and dynamic logic, sharing actionable insights to help balance high-end UX requirements with good model performance.

Take the Next Step: Evolving Your Power BI Solution with Microsoft Fabric

In this session, we’ll explore why evolving from a Power BI-only setup to a fully integrated Microsoft Fabric environment is a game-changer.

Previous Sessions

Field Parameters or Personalize Visuals – Choosing the Right Aircraft for Your Self-Service Journey

In the world of self-service reporting, there are different aircraft to take you to your data destination. Field Parameters, much like a robust and versatile aircraft, provide a structured framework for dynamic data analysis. On the other hand, Personalize Visuals behave like a customized aircraft that offers a more personalized and flexible approach to dynamic data analysis. Join us as we embark on a journey toward successful self-service reporting, regardless of the 'aircraft' you choose to board.

Don't be scared with Hybrid, they are only tables…

Hybrid Tables in Power BI - Do you have the courage to mess with them? Jump in and together let's chop the data in static, incremental and instable data that is changing every second…