Microsoft Fabric Workspace Design Best Practice
Hi everyone, ***Update*** Due to popular demand, we are adding another option for online if you can't make it today: https://events.teams.microsoft.com/event/c5448e16-0f76-4379-a648-53c7f63be22a@b7972088-f1b2-44d5-a586-9721edd6f8b3 *************** We’re excited to invite you to a collaborative community discussion on Microsoft Fabric Workspace Design Best Practices! Whether you're just starting with Microsoft Fabric or scaling enterprise-wide deployments, designing your workspaces effectively is key to governance, collaboration, and performance. In this session, we'll explore practical strategies around: Workspace structuring for scalable data projects Access management & security alignment Organizing pipelines, notebooks, and Lakehouses Promoting collaboration across business units Aligning Fabric workspace design with Power BI and Purview Customer Presentation - Architecture and Practical Implementation of Microsoft Fabric at the Bank of Canada - Workspace Design and Organization - Pavel Aleman & Ramesh Paskarathas agenda : 1:30 - Doors open & Networking 2:00 - 2:30 - Technical Talk 2:30 - 3:00 - Pizza 3:00 - 4:00 - Bank of Canada Talk Huge thank you to Adastra for sponsoring this event!
Fabric Days 2026
¡Llega FABRIC DAY Online! Un día entero dedicado al ecosistema Data & AI de Microsoft Fabric, en español y para toda la comunidad hispanohablante. Una jornada online y gratuita donde perfiles experimentados y nuevas voces de la comunidad comparten conocimiento real: casos de uso en producción, buenas prácticas, aprendizajes y enfoques aplicables desde el primer minuto. Datos clave - Fecha: 5 de junio de 2026 - Hora: desde las 16:00 (hora española) - Formato: 100% online - Idioma: español - Organiza: Microsoft Speakers Hub en Español (MSHESP) Aplicación del evento https://lnkd.in/ezYvvsx5 Muy contentos de presentar este auténtico cartelón para FABRIC DAY Online 2026. Síguenos en LinkedIn para actualizaciones: https://lnkd.in/ewkiSsBX Únete a la comunidad WhatsApp: https://lnkd.in/eFMpZaqM Os esperamos. Gracias.
NYC Fabric Community – Featured Speaker: Joey D’Antoni | Architecture Framework
Joey D'Antoni: Building the Fabric Well-Architected Framework What is the best way to architect Microsoft Fabric workspaces? How should your network and security models be designed for scale and governance? In this session, you’ll explore best practices across Microsoft Fabric, including naming standards, deployment strategies, capacity management, security, and overall platform governance. Key topics include: Best practices for deployment and management of Fabric environments Implementing standards, controls, and governance models Designing enterprise-ready architecture for Microsoft Fabric This session is ideal for anyone looking to build a scalable, secure, and well-architected Fabric implementation. It will also be valuable for those interested in strengthening best practices around standardization, performance, and long-term operational stability, as well as experienced architects from other data platforms exploring Microsoft Fabric.Governance and Direct Lake in Fabric
Join us for our NEXT Microsoft Fabric Meetup event in May. Event Details Date: Thursday, 21st of May 2026, 6 p.m. Location: Microsoft Office, Hamburg Food and Drinks Provided Agenda 18:00 – Arrive, grab a drink, and find your spot 18:15 – Governance Quest Fabric (Power BI) – requesting a license, enabling Excel export, a slow report... sounds like three simple IT tickets. It isn’t. Behind each of these requests lies a decision that goes far beyond technology and the wrong answer costs you valuable lives. In this session, Fabric (Power BI) governance becomes a real experience: instead of slides, there are cards. Instead of just listening, you actively play. With the “Governance Game” a custom-designed card game built around Microsoft Fabric (Power BI) you and the other participants make decisions based on real-life scenarios from the Fabric world. Who is responsible? What comes first? And why is the seemingly obvious technical solution almost never the right first step? The answers will surprise you and so will the discussions at your table. If you miss this session, you’re not just missing a game. You’re missing the insight that will make every future Fabric decision in your organization easier. Speaker: Kathrin Borchert - May the POWER of Fabric BI with you! || MVP for Power BI & Fabric || Master Chief @YoDaBI || Speaker || Trainer || Coach || Ca-t-ech-fluencer 19:00 – Short Break 19:15 – Direct Lake in Microsoft Fabric – Hype, Reality, and Best Practices Direct Lake is one of the most exciting building blocks in Microsoft Fabric: no traditional import, no Power Query, and direct queries on Delta tables in OneLake. It sounds like the perfect storage mode—but is it really? In this meetup, we will take a closer look at Direct Lake and position it realistically in comparison to Import and DirectQuery. Using short demos and real-world examples, we will discuss key prerequisites (including the concept of a Semantic Model Ready Gold Layer), the topic of DirectQuery fallbacks, memory and column loading behavior, as well as the dreaded “guardrails.” We will also cover performance considerations at every level—both for the underlying physical Delta tables and for the data modeling itself. Speaker: Dirk Seifert - Data Analytics Engineer @ Obungi & Matthias Hufnagel - Power Platform Consultant @ Obungi 20:00 – Discussion & Drinks Engage with our speakers and participants in discussions while enjoying some refreshments. Don't miss this opportunity to enhance your Microsoft Fabric expertise, exchange ideas, and network with the community. We look forward to seeing you there!
Best practices for separating Silver and Gold in Microsoft Fabric for AI agents
Hi Fabric Community, We're building a Microsoft Fabric data platform for an AI agent that investigates leads using Salesforce and Marketo data. The AI agent searches across Lead, Contact, Account, Opportunity, Case, Campaign, Marketo Person, and Activity data to summarize related opportunities, inquiries, engagement history, and other relevant information. Our goal is not BI or reporting. Instead, we're building a reusable data platform for AI agents, with the possibility of supporting additional sales AI agents in the future. Current architecture We are currently considering the following architecture: Workspace 1 (Data Engineering) Bronze Lakehouse: Stores raw Salesforce and Marketo data with minimal transformation, serving as the source for reprocessing and data lineage. Silver Lakehouse: Stores standardized and integrated data, including data type conversion, deduplication, entity matching, Salesforce–Marketo integration, and common business keys. This layer is intended to be the reusable, enterprise-wide data foundation. This workspace is used only by data engineers and administrators for data ingestion, transformation, and maintenance. Workspace 2 (AI & Business Consumption) Gold Lakehouse: Data exposed to AI agents and business users. This workspace is intended to isolate end-user consumption from the underlying data engineering layer and simplify permission management. Our challenge We're struggling to decide how much data should actually be placed in the Gold layer. Many of the objects we're considering—such as person investigation views, opportunity search views, and case search views—seem to be little more than AI-friendly views over the Silver layer. On the other hand, datasets such as person activity summaries, company activity summaries, or pre-aggregated Marketo Activity data seem like better candidates for Gold. Questions For AI-agent use cases, is it common for AI to query the Silver layer directly while keeping the Gold layer minimal? Or is it also considered a best practice to omit the Gold layer entirely and have AI consume data directly from the Silver layer? If you use a Gold layer, what kinds of tables or views do you typically put there? I'm particularly interested in real-world architectures and best practices from teams using Microsoft Fabric primarily for AI rather than traditional BI. Thanks in advance! #MicrosoftFabric #Lakehouse #MedallionArchitecture #AI #CopilotStudio #DataAgent #OneLake #Salesforce #MarketoThe Fabric Blueprint: Architecting Workspaces for Enterprise Success
This quick guide establishes the organizational standard for managing Microsoft Fabric within our enterprise environment. By adopting these patterns, we ensure security, maintainability and streamlined CI/CD deployments across all data projects.Beyond the Basics: Deep Dive into Microsoft Fabric Row-Level Security (RLS) & Purview Labelling
“Securing your data isn’t about locking it away – it’s about ensuring the right people see the right insights without compromising the rest.” In our previous beginner’s guide, we explored how to establish baseline governance, structure your workspaces and set up your core Admin Portal guardrails. If you fancy reading the previous beginner blog, you can refer it here. But once your data estate is up and running, you inevitably run into a critical next challenge: How do you handle data when different people are allowed to see different subsets of information within the very same table? Moving from basic visibility to active, granular protection is the hallmark of Stage 2 on the Governance Maturity Curve. In this deep dive, we’ll explore how to implement Row-Level Security (RLS) and enforce Microsoft Purview sensitivity labels through a visual journey.
On-Prem Data Gateway Silent Error and storage cache
Hello, I'm writing to try and understand an issue we had in office today. Over the weekend we received a semantic model refresh error that said our data gateway went offline. Our first error came at midnight on Saturday. We have most semantic models scheduled for either midnight or 1am. When I got into the office today and noticed that our reports had not been updated since Friday, I found that within Power BI service under workspace connections when I realized that our on on-prem data gateway was offline. When I investigated our SQL server which is where our gateway is installed our C: Drive was using 199gb of 200. The on-premises data gateway service had a status of running. Our SQL data is stored in the 😧 drive and that was healthy, the gateway is installed on the C: Drive. We expanded the drive and restarted the server. This caused a power automate flow, which uses the SQL trigger "When an Item is created (v2)", to execute everything over everything that was added through the weekend. Our C Drive is now at ~150gb of 250 (since we expanded). This is leading me to believe that the On-Premises data gateway lost connection sometime Friday, started caching 2.5 days worth of data, and clogged our C Drive. Is this supposed to happen? Is there a way for us to know if the gateway lost connection without waiting for a semantic model refresh error?
