Real-Time Loyalty Intelligence on Microsoft Fabric for Agentic Commerce
Description Agentic commerce is projected to redirect three to five trillion dollars in global retail spending by 2030, and AI-driven retail website traffic grew 693% year-over-year during the 2025 holiday season. Every major agentic commerce protocol today treats agent-initiated transactions as anonymous guest checkouts, which means loyalty tier, points, and benefits disappear the moment an AI agent completes a purchase on a customer's behalf. Since loyalty members generate two to five times the revenue of non-members, this is a costly blind spot, and it is also a data engineering problem Fabric is well suited to solve. This session walks through a reference architecture for restoring tier recognition, benefit eligibility, and points accrual to machine-speed checkout flows operating under 100-millisecond latency budgets, built on Fabric's real-time stack. Eventstream and KQL Database power a Loyalty State Cache that serves pre-computed tier state in single-digit milliseconds using change-data-capture pipelines from the loyalty system of record. Data Activator drives a Benefit Eligibility Evaluator that resolves banner-parameterized offers and gated access in real time, while OneLake and Lakehouse provide the unified storage layer connecting transactional, promotional, and identity data without duplication. An asynchronous accrual engine settles points and benefit updates within seconds of payment confirmation, decoupled from the hot path. The talk covers concrete implementation patterns: staleness policies tuned by benefit type, from 15-minute tolerances for standard discounts to under 2 minutes for gated event access; a layered security model using short-lived, single-use tokens; and graceful degradation logic that preserves the purchase with retroactive accrual when real-time loyalty resolution fails. Attendees will leave with a working blueprint for using Fabric's real-time intelligence and OneLake foundation to keep loyalty programs intact as an increasing share of retail transactions shift to autonomous AI agents.Handling Real Time data in Fabric Eventhouse
Event Details: Date: 19 September Time: 10:00 AM IST Speaker: Naveen Nagar | LinkedIn Profile About the Event: In today's data-driven world, organizations increasingly need to make sense of high-volume, fast-moving data - sensor telemetry, clickstreams, transactions, and logs - before the opportunity to act on it passes. Join us for this technical meetup as we explore Fabric Eventhouse, Microsoft Fabric's purpose-built engine for real-time analytics. This session will move beyond traditional batch pipelines to demonstrate a modern, low-latency data architecture where streaming data is captured, indexed, and made queryable within seconds. We will walk through a complete real-time data flow - from a live streaming source, into Eventhouse, and out to every consuming engine in Fabric via OneLake - without data duplication or performance trade-offs. What we will cover: Architecture: An end-to-end walkthrough of a real-time pipeline built on Fabric Eventstream, Eventhouse, and OneLake. Eventstream & Ingestion: How Eventstream captures, transforms, and routes streaming events from sources such as Azure Event Hub, IoT Hub, and CDC connectors into Eventhouse. Eventhouse & KQL Database: How KQL databases automatically index and time-partition data on arrival, and how update policies and materialized views enrich and aggregate data as it lands. OneLake Availability: How a single copy of streaming data becomes instantly available to Power BI, Warehouses, Notebooks, and Lakehouses through OneLake, eliminating the need for separate ETL copies. Live Demo: A practical, live walkthrough showing data flow from a streaming source, through Eventstream, into Eventhouse, out to OneLake, and into a live Power BI report in near real-time. This session is designed for: Data Engineers & Architects working with streaming data Power BI Developers & Fabric Users Analytics teams building real-time or near-real-time dashboards Anyone evaluating Microsoft Fabric's Real-Time Intelligence capabilitiesYour Data Is Everywhere, Now What? Building A Modern Data Platform.
Microsoft Fabric User Group Accra: A Ghanaian company has data in Excel, SQL databases, APIs, operational systems and applications. Different teams have different numbers. Reports take days. Nobody trusts the dashboard. As far as you make decisions based on data, this is for you. This session introduces the Fabric ecosystem and demonstrates how the different workloads work together. Attendees will build a simple end-to-end solution that takes raw data, stores and transforms it in a Lakehouse, and exposes it for analysis. Learning objectives By the end of the session, attendees will be able to: Explain what Microsoft Fabric is and where it fits in the Microsoft data ecosystem. Identify the major Fabric workloads. Understand the role of OneLake. Distinguish between Lakehouse, Warehouse, and other Fabric workloads. Create a Fabric workspace. Build a basic data-to-insight workflow.Workforce Compliance and Time Fraud Detection reporting using PowerBI
Description Mode: Online Date & Time: 26 Sept 10 AM IST Managing time and attendance across a global workforce requires organizations to balance regulatory compliance, corporate policies, and operational efficiency. Traditional approaches often rely on manual reviews and fragmented processes, making it difficult to consistently identify compliance risks and potentially fraudulent activities in a timely manner. This session presents a real-world success story of a Machine Learning-powered Working Hours Alert System (WHAS) for modernizing workforce compliance monitoring and fraud detection. The solution analyzes time and attendance data to identify compliance risks, detect anomalous working-hour patterns that may indicate fraud, and recommend schedule adjustments aligned with labor laws and organizational policies. The session focuses on the data and machine learning aspects of building an intelligent compliance monitoring solution. Attendees will learn how workforce data can be analyzed to identify meaningful patterns, design effective alerts, support anomaly detection, and enable proactive intervention. The discussion will also cover implementation considerations, transparency, human oversight, and lessons learned from deploying an AI-driven compliance solution in a global enterprise environment. By connecting machine learning with enterprise workforce data, the presentation demonstrates how organizations can reduce manual effort, improve consistency in compliance monitoring, strengthen governance, and support more informed operational decisions. Attendees will gain practical perspectives they can apply when designing scalable data and analytics solutions for workforce compliance and operational integrity.Carreira na Europa com Microsoft Fabric: Como entrar, crescer e trabalhar na área de Dados
📅 04 de setembro de 2026 🕗 20:00 — Hora de Portugal (Lisboa) 💻 Online — Microsoft Teams 🌍 Idioma: Português Queres trabalhar na Europa na área de Dados? Já estás na Europa e queres fazer uma transição para Data Engineering, Data Analytics ou Business Intelligence? Então esta sessão é para ti. 🚀 O mercado europeu tem uma procura crescente por profissionais de Dados, Analytics e Data Engineering, e o Microsoft Fabric está a ganhar cada vez mais espaço nas organizações que procuram centralizar e modernizar as suas plataformas de dados. Nesta sessão do Fabric Lusófono, vamos falar sobre como podes utilizar o ecossistema Microsoft — especialmente Microsoft Fabric, Power BI, SQL, Azure, Python e outras tecnologias de dados — para construir uma carreira competitiva no mercado europeu. 🎯 O que vamos abordar? 🔹 Como está o mercado europeu de Dados e Analytics Que perfis são mais procurados e quais as competências que as empresas valorizam. 🔹 Microsoft Fabric como oportunidade de carreira Como o Fabric se encaixa nos papéis de Data Engineer, Analytics Engineer, Data Analyst, BI Developer e outros. 🔹 Como entrar na área de Dados na Europa Estratégias para quem está a começar ou pretende fazer uma mudança de carreira. 🔹 Como transformar conhecimento técnico em empregabilidade Certificações, projetos, GitHub, LinkedIn, portefólio e experiência prática — o que realmente pode fazer diferença. 🔹 Como construir um perfil internacional Como apresentar as tuas competências, experiência e projetos para empresas europeias. 🔹 Remote, Hybrid ou On-site? O que considerar quando procuras oportunidades em diferentes países europeus. 🔹 Do zero à primeira oportunidade Um possível caminho de aprendizagem para quem quer entrar em Data Analytics ou Data Engineering. 🌍 Para quem é esta sessão? Esta sessão é especialmente indicada para: 👨🏾💻 Profissionais de Dados que vivem fora da Europa e querem encontrar oportunidades no mercado europeu. 🌍 Profissionais que já estão na Europa e querem migrar para a área de Dados. 📊 Data Analysts, BI Developers e profissionais de Power BI que querem evoluir para Data Engineering ou Analytics Engineering. ⚙️ Data Engineers que querem fortalecer o seu conhecimento em Microsoft Fabric e posicionar-se melhor no mercado. 🎓 Estudantes e profissionais em transição de carreira que querem perceber por onde começar. 🚀 Profissionais que já trabalham com Microsoft, Azure, SQL ou Power BI e querem transformar essas competências numa carreira internacional. 💡 Mais do que aprender uma ferramenta Aprender Microsoft Fabric é importante. Mas saber construir uma carreira com essas competências é ainda mais importante. A ideia desta sessão é mostrar o caminho entre: 📚 Aprender → 🛠️ Praticar → 🧩 Construir projetos → 🎯 Criar um perfil profissional → 🇪🇺 Encontrar oportunidades Não precisas de saber tudo para começar. Precisas de saber o que aprender, como praticar e como demonstrar o teu valor ao mercado. Se tens o objetivo de trabalhar com Dados na Europa — ou simplesmente queres descobrir se esta pode ser a tua próxima carreira — junta-te a nós. Fabric Lusófono — Aprender. Partilhar. Crescer.
Power BI + Fabric MCP: What It Can Do, What It Can't, and How to Set It Up
Event Details: Date: 29 August 2026 Time: 6:30 PM IST Speaker: Natarajan Manivasagan | LinkedIn Profile About the Event: Microsoft has shipped MCP servers for Power BI and Microsoft Fabric, opening up a new way for AI agents to work directly with semantic models and workspace items. This session is a practical introduction to integrating these new capabilities into your workflow. We will explore what MCP is, how to set it up, and what it makes possible in real work - from semantic model development to workspace management through natural language. What we will cover: The Fundamentals: What MCP is and how it differs from a traditional REST API. Microsoft's Offerings: An overview of the available MCP servers for Power BI and Fabric, and the specific use cases for each. Setup & Integration: How to configure these servers with the tools you already use. Real-World Applications: Managing semantic models and workspaces using natural language. Honest Boundaries: A realistic look at the current limitations of this public preview so you can avoid wasted effort. Who should attend: Power BI Developers Data Analysts Data Engineers Anyone looking for a grounded view of how AI agents fit into a real data workflow Are you based out of India? Join Our WhatsApp group for Event Updates. https://chat.whatsapp.com/FqDsKITYk22F5wXWYQKzuaPower BI Summer Days Tunisia 2026
Join us for Power BI Summer Days Tunisia 2026, a unique community event bringing together Data professionals, Power BI enthusiasts, Microsoft experts, and analytics innovators for a day of learning, sharing, and networking. This summer edition is dedicated to exploring the latest trends in Business Intelligence, Data Analytics, Artificial Intelligence, and Microsoft Data technologies.Azure Infrastructure for the Power BI Data Consumer
Access denied, connection could not be established - this is exactly what you want to see when trying to connect to your data sources on Azure! With more and more data sources being hosted in the cloud and specifically on Azure, it has become more relevant to understand the different data services on Azure, as well as the options for connecting to these data sources. In this session we will walk through the different data sources in Azure, the different ways to connect to these data sources and what you need to consider when working in Power BI Desktop and Power BI Service. You will be smoothly connecting to all your Azure data sources in no time!Why Do My DAX Formulas Return Wrong Results?
Why Do My DAX Formulas Return Wrong Results? This session will focus on some of the common DAX formula mistakes beginners make when building measures and calculated columns. I will share examples and solutions that I have encountered in helping members of the Power BI community. Agenda: Introductions (5 mins) Presentation (55 mins) Q&A session (15 mins) About Fowmy Abdulmuttalib: Fowmy is the founder of ExcelFort Consulting and Training. He is a Microsoft Certified Data Analyst, Power BI SuperUser and an experienced Finance Professional with skills in Business Analytics and Financial Reporting. This event is online. You may need to install Zoom: https://zoom.us/download Space is limited so reserve your seat. Contact with Fowmy Abdulmuttalib: LinkedIn: https://www.linkedin.com/in/fowmy/ Members participating in Meetup Live events must be respectful in interactions with people and in content posted on the platform.
