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.

Your boss walks by your desk on a Friday afternoon with the dreaded question: “Can you give me a full audit of who has access to what in our tenant? I need to know every workspace and exactly who is in it.”

You look at the clock. It’s 4:30 PM. Your weekend plans are already set and spending the next 48 hours manually clicking through the Admin Portal, taking screenshots and copying data into Excel is not on the agenda.

The good news? You don’t have to.

A proof of concept on bringing a governed Databricks Unity Catalog silver layer into Microsoft Fabric behind private networking, and building gold in Fabric on top. Four setups compared, with the exact steps, the gotchas, and how Unity Catalog governance carries over through OneLake security and Policy Weaver.

Walkthrough of the new sempy.fabric.admin module: retrieving the configuration settings for tenants, auditing the activities performed on those settings, capturing everything into the lakehouse, and creating governance use cases such as config drift and activity dashboards.

Ever needed a dashboard that looks a very specific way- a big trend number with a mini sparkline, a real-time ticking counter, a layout Power BI's report canvas just won't give you- and ended up stuffing extra measures and workarounds into your semantic model just to fake it? Fabric Apps let you build that exact look as a small custom web app that plugs into your existing model, and an AI coding agent can build most of it for you. Here's what it actually is, in plain terms, with one simple example.

If you've ever moved a Direct Lake semantic model to a new Fabric workspace and watched your report break with a confusing partition error, you're not alone it's one of the most common questions in the Fabric Community. Here's why it happens in plain terms, and the official fix Microsoft just shipped.

How do you keep track of hundreds of tables scattered across 50–200 lakehouses? Manually, you can't — not reliably. This post walks through two practical approaches to automating a Fabric table audit: SemPy for simplicity, and the direct Fabric API when you need more control. Either way, your governance game just got an upgrade.

A complete, end-to-end walkthrough, from an empty folder to a live, authenticated, database-backed web app running inside Microsoft Fabric, using Fabric Apps (Preview) and the Rayfin toolchain.

Read on to learn more about who won the first ever Fabric Ontology Innovation Contest.

At first, I thought Microsoft Fabric was just another Microsoft product.

But after learning more, I realized the real idea behind Fabric is much bigger:
bringing Data Engineering, Analytics, Data Science, and Power BI together in one unified platform.

That’s exactly what made me start creating Arabic content to simplify the learning journey for others.

🇧🇷 PT: Chegamos à reta final! Descubra como garantir um "Go-Live" sem estresse no Microsoft Fabric usando automação CI/CD, governança de dados e o checklist definitivo de prontidão para produção. Aprenda a usar a IA para revisar a segurança do seu projeto antes do lançamento.

🇺🇸 EN: We've reached the final stretch! Discover how to ensure a stress-free "Go-Live" in Microsoft Fabric using CI/CD automation, data governance, and the ultimate production readiness checklist. Learn how to use AI to review your project's security before launch.

🇪🇸 ES: ¡Llegamos a la recta final! Descubra cómo garantizar un "Go-Live" sin estrés en Microsoft Fabric utilizando automatización CI/CD, gobernanza de datos y el checklist definitivo de preparación para producción. Aprenda a usar la IA para revisar la seguridad de su proyecto antes del lanzamiento.

🇧🇷PT: Da teoria à prática: descubra como o Data Contract garante que sua IA no Microsoft Fabric trabalhe com dados limpos e precisos. Aprenda a guiar o GitHub Copilot para construir um Lakehouse blindado contra erros.

🇺🇸EN: From theory to practice: discover how the Data Contract ensures your AI in Microsoft Fabric works with clean and precise data. Learn how to guide GitHub Copilot to build a Lakehouse shielded against errors.

🇪🇸ES: De la teoría a la práctica: descubra cómo el Data Contract garantiza que su IA en Microsoft Fabric trabaje con datos limpios y precisos. Aprenda a guiar a GitHub Copilot para construir un Lakehouse blindado contra errores.

A structured look at how SQL workloads have evolved across deployment models — from on-premises SQL Server to SQL database in Microsoft Fabric — including what's Generally Available, what's in Preview, and what's coming next.

🇧🇷PT: Começar no Microsoft Fabric pode ser intimidador, mas o segredo do sucesso não está apenas na ferramenta, e sim no planejamento. Descubra como o Spec Driven Development (SDD) transforma o GitHub Copilot em seu assistente mais preciso para projetos de BI. Esta é a Parte 1 de uma trilogia dedicada a tirar você do zero com segurança e IA.

🇺🇸EN: Starting with Microsoft Fabric can be daunting, but the secret to success isn't just the tool—it's the planning. Discover how Spec Driven Development (SDD) turns GitHub Copilot into your most precise assistant for BI projects. This is Part 1 of a trilogy dedicated to getting you from zero to hero safely with AI.

🇪🇸ES: Comenzar en Microsoft Fabric puede ser intimidante, pero el secreto del éxito no está solo en la herramienta, sino en la planificación. Descubra cómo el Spec Driven Development (SDD) transforma a GitHub Copilot en su asistente más preciso para proyectos de BI. Esta es la Parte 1 de una trilogía dedicada a llevarlo de cero a la meta con seguridad e IA.

PT-BR: Guia estratégico para migrar SSIS, SSAS e SSRS para a arquitetura unificada do Microsoft Fabric.
EN: Strategic guide for migrating SSIS, SSAS, and SSRS to the unified Microsoft Fabric architecture.
ES: Guía estratégica para migrar SSIS, SSAS y SSRS a la arquitectura unificada de Microsoft Fabric.

For a long time, I used to think the main problem in data work was the lack of tools.

Every time we needed something, we just added a new tool.

Tired of managing security three different ways for SQL, Spark, and Power BI? Microsoft Fabric's OneLake Security changes the game with a single unified layer that enforces table, row, column, and folder-level access control across every engine. Define your security policies once in the portal, and they're automatically enforced whether users query through notebooks, SQL endpoints, or DirectLake reports. This blog walks you through setting up real-world demos with sample data, creating granular roles via UI clicks, and validating enforcement across engines. Ready to simplify your data security? Let's build it step-by-step.

In large restaurant chains, keeping tabs on thousands of assets equipment, inventory, purchase orders, and transfers across hundreds of locations is a significant operational challenge. When that data lives in disconnected systems, gets reported manually, and arrives 24–48 hours late, the business is always flying behind the windshield.

This post walks through how we helped Restaurant Industry Company replace a fragile, manual reporting pipeline with a fully automated Micr... , reducing data latency from 48 hours to under 3, eliminating manual reporting effort, and laying the foundation for AI driven forecasting.

In the previous blogs of this series, we explored the foundations of modern data platforms—starting with Parquet, then understanding Delta Tables, and finally looking at how Delta Live Tables automate data pipelines.

But modern analytics environments involve more than just storage formats and pipelines. Organizations also need platforms that can manage data engineering, analytics, machine learning, and reporting.

Today, three major platforms dominate this space:

• Microsoft Fabric

• Databricks

• Snowflake

Each platform provides powerful capabilities, but they are designed with different philosophies and use cases in mind.

In this article, we will explore how these platforms compare and when organizations should choose each one.

How a unified Lakehouse architecture in Microsoft Fabric improved data consolidation, reduced latency, and strengthened solar forecasting workflows.

We're pleased to announce the winner of the Fabric Extensibility Toolkit contest!

In the article, I walk through a simple, practical scenario where business users ask ad hoc questions and get instant answers without writing SQL or building new visuals.

It covers the full setup, from creating the lakehouse to publishing the data agent, along with key limitations to keep in mind.

If you are working with Microsoft Fabric or building self service analytics for business teams, this will be useful.

Microsoft Fabric is changing how we think about analytics, data engineering, and BI.
If you already work with Power BI, SQL, or Azure tools, this blog will help you understand what Fabric really is, how its components fit together, and where to start without getting overwhelmed.

In this blog, I will walk you through how to configure OneLake security with fine‑grained Read, Read‑Write access and Row‑Level Security (RLS) in Microsoft Fabric. This step‑by‑step guide is based on a real‑world scenario and includes practical implementation details that you can easily replicate in your environment.

Transitioning from Mirrored Data to a Fabric Lakehouse Without Pipelines

Want to make sense of your Microsoft Fabric spending? Discover how the Fabric Cost Analysis (FCA) solution empowers you to monitor, optimize, and clearly understand your platform costs. Developed by FinOps and Data experts, FCA offers a community-driven approach for deep financial and operational insights, robust architecture, and flexible analytics all powered by the latest Fabric capabilities. Get the clarity you need and join a growing community focused on smarter data platform management!

Compliance Without Complexity