This session explains the theory behind Microsoft Fabric capacity architecture so admins and users can understand how it works. We connect the concepts with the Capacity Metrics App, demonstrate how to monitor and protect capacity, explain throttling in practice, and share best practices.

Présentation sur les solutions de monitoring pour Microsoft Fabric: pourquoi le monitoring, les niveaux de supervision (Tenant, Capacity, Gateway, Item), outils et bonnes pratiques (FUAM, FCA), cas d’usage et retours d’expérience, et conseils pour améliorer la gouvernance et la performance de votre environnement de données.

Explores Microsoft’s Applied Skills credential program and the learning path for implementing a data science and ML solution with Microsoft Fabric, including setting up a Microsoft Learn profile, locating credential offerings, and following the guided scenario using Fabric’s Lakehouse, Notebooks, and MLflow integration. Linda Larkan will provide demonstrations highlighting the workflow from data ingestion to model training and prediction.

Session sur l’exposition des données avec Power BI et Data Agents.

Session sur l’ingestion de données et l’alimentation de Fabric avec vos sources.

Session sur la mise en place d'une plateforme Fabric, du zéro au premier workspace.

Session sur la transformation et la modélisation des données dans Fabric.

Discover how Microsoft and top media partners are reshaping Media & Entertainment with AI and the Microsoft Cloud. Learn how Azure, Fabric, and generative AI are powering faster content creation, smarter workflows, and immersive audience experiences—featuring real-world innovations in storytelling, distribution, and monetization.

In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this episode, we're joined by Terry Dorsey, Senior Data Architect & Evangelist at Denodo, to unpack the conceptual differences between terms like data fabrics, vector databases, and knowledge graphs, and remind you not to forget about the importance of structured data in this new AI-native world! What You'll Learn: The difference between data fabrics, vector databases, and knowledge graphs — and the pros and cons Why organizing and managing data is still the hardest part of any AI project (and how process design plays a critical role) Why structured data and schemas are still crucial in the age of LLMs and embeddings   How knowledge graphs help model context, relationships, and "episodic memory" more completely than other approaches   If you've ever wondered about different data and AI terms, here's a great glossary to check out from Denodo: https://www.denodo.com/en/glossary 🤝 Follow Terry on LinkedIn!   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Old production machines, little data – big potential. In this 25‑minute theater session, see how to retrofit non‑invasive sensing, unify signals in Microsoft Fabric, and apply Azure AI to boost yield, increase throughput, and cut warranty claims. We’ll live‑demo turning a low‑data line into actionable insights and service triggers in Dynamics 365 – then hand you a 30‑60‑90‑day blueprint, reference architecture, and checklists you can use right away.

Looking to take your Data & AI career to the next level? Join us for an insider’s guide to the Fabric Community, a powerful hub designed to help you grow, connect, and stand out. Discover how to unlock exclusive benefits, participate in challenges, attend free training, and build your network. Don’t just join the community, make it work for you.

The core of enterprise’s agentic transformation involves autonomous AI agents to handle complex tasks and a workflow logic that is dynamic/decision driven. The success of agentic transformation hinges on access to high-quality, trusted and well-governed data. Explore how Informatica, Microsoft Foundry and Microsoft Fabric power agentic workflows through MCP and dive into an architectural blueprint/demo of metadata driven data discovery, automated data quality and enriched master data.

Unlock the next level of enterprise AI with Fabric data agents—now featuring integration with M365 Copilot, managed MCP server endpoints, and reasoning across structured and unstructured data in OneLake. Learn how these innovations empower your teams to unify data sources and deploy intelligent, interoperable AI solutions faster and more securely. With MCP support, Fabric data agents can streamline governance and connectivity across the enterprise, enabling data-driven decision-making at scale.

Join this hands-on lab to design and deploy a modern, cloud-native analytics and AI solution using Azure Databricks, Microsoft Foundry, and Microsoft Copilot Studio. Work with the Zava-Litware scenario to perform data ingestion, orchestration with Lakeflow, AI-driven insights via Genie, mirrored catalog in Microsoft Fabric, Copilot Studio low-code automation, and advanced reporting in Power BI. Build a scalable, cost-efficient solution showcasing AI-powered analytics for business transformation.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

See AI in action as we transform raw data into intelligent insights using Microsoft Fabric and Azure AI. This demo-driven session focuses on real-world scenarios that show the value of embedding intelligence directly into your data workflows. We’ll walk through how to: * Process and classify invoices automatically at scale. * Enable semantic search across OneLake for instant access to finance records. * Build a app that answers invoice queries in natural language and surfaces payment insights

What if your data migration process could work smarter, not harder? Discover how we collaborated with this client to successfully migrate over 12TB of data while maintaining cost-efficiency and performance, enabling 300+ Power BI reports in real-time mode for instant, actionable insights, and integrate seamlessly with platforms like Workday. Gain insights on cost optimization, data consistency, and driving business agility, while unlocking the potential of your data for smarter decision-making.

Master Microsoft Fabric from basics to advanced architectures with expert guidance to unify, secure, and scale analytics on real-world data platforms Key Features Build a complete data analytics platform with Microsoft Fabric Apply proven architectures, governance, and security strategies Gain real-world insights from five seasoned data experts Purchase of the print or Kindle book includes a free PDF eBook Book Description Microsoft Fabric is reshaping how organizations manage, analyze, and act on data by unifying ingestion, storage, transformation, analytics, AI, and visualization in a single platform. The Definitive Guide to Microsoft Fabric takes you from your very first workspace to building a secure, scalable, and future-proof analytics environment. You’ll learn how to unify data in OneLake, design data meshes, transform and model data, implement real-time analytics, and integrate AI capabilities. The book also covers advanced topics, such as governance, security, cost optimization, and team collaboration using DevOps and DataOps principles. Drawing on the real-world expertise of five seasoned professionals who have built and advised on platforms for startups, SMEs, and Europe’s largest enterprises, this book blends strategic insight with practical guidance. By the end of this book, you’ll have gained the knowledge and skills to design, deploy, and operate a Microsoft Fabric platform that delivers sustainable business value. What you will learn Understand Microsoft Fabric architecture and concepts Unify data storage and data governance with OneLake Ingest and transform data using multiple Fabric tools Implement real-time analytics and event processing Design effective semantic models and reports Integrate AI and machine learning into data workflows Apply governance, security, and compliance controls Optimize performance and costs at scale Who this book is for This book is for data engineers, analytics engineers, architects, and data analysts moving into platform design roles. It’s also valuable for technical leaders seeking to unify analytics in their organizations. You’ll need only a basic grasp of databases, SQL, and Python.

Learn how to embed AI across your Oracle estate, spanning apps and databases with Oracle Database@Azure. We’ll walk through blueprints that use Microsoft Foundry, Copilot Studio, and Microsoft Fabric to vectorize Oracle data, build task?specific copilots and agents, and operationalize analytics. Hear customer?proven integration patterns, cost considerations, and reliability tips, and leave with a pragmatic adoption roadmap and next?step resources.