fabric
273 TopicsAI-assisted data engineering with Microsoft Fabric
It is time for yet another meetup! We are happy to invite you to another chapter in our Fabric journey, this time exploring the realm of agentic development in Microsoft Fabric. For this we are honored to welcome Wolfgang Strasser to the mix! It is going to get agentic. Stay tuned! Event Details 📅 Date: Thursday, 15th of October 2026, 6 p.m. 📍 Location: Microsoft Office, Hamburg (Axel-Springer-Platz 3, Hamburg) 🍴 Food and Drinks Provided Agenda 18:00 – Arrive, grab a drink, and find your spot 18:15 - Warm up session Speaker: Maria Mohr - Data & AI Engineer @ Obungi GmbH, Niels Siepe - Data Analytics Engineer @ Obungi GmbH 18:30 – AI-assisted data engineering in Microsoft Fabric - From Code Gen to Column-Level Impact Analysis Data pipelines ship faster than teams can document, test, or trace them. A column rename quietly breaks three dashboards. A schema drift silently poisons a semantic model. Sound familiar? This session puts AI to work on the problems data engineers actually lose sleep over - demonstrated live inside Microsoft Fabric with real Lakehouse pipelines, notebooks, and OneLake artifacts: Code generation: Convert requirements into Fabric notebooks and pipeline JSON using natural-language prompts. See what works, what needs guardrails, and where human review is non-negotiable. Living documentation: Auto-generate and continuously sync technical documentation from actual pipeline and notebook code - so docs never again drift from reality. Proactive data quality: Let AI inspect Delta table schemas and data distributions to propose validation rules, detect anomalies, and generate test cases - catching drift before it hits production. Lineage & impact analysis: Answer "What breaks if I change this column?" by tracing column-level lineage across Fabric pipelines, Spark notebooks, OneLake tables, semantic models, and Power BI reports - and visualize the blast radius before the change ships. What you'll take home: A practical toolkit: which AI capabilities (inside and outside Microsoft Fabric) are production-ready today and which ones to watch. Repeatable patterns for AI-maintained documentation and automated data-quality checks. An honest evaluation framework: where AI accelerates data engineering versus where it introduces new risks (and more work). See what was announced at FabCon Barcelona and how these features help us to even use more AI-assistance for our data engineering work. Speaker: Wolfgang Strasser - Microsoft Data Platform MVP (11 yrs) | I turn Microsoft Fabric from a licence line-item into a platform your business actually trusts. Data Consultant @ ACP CUBIDO 19:45 – 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!PostFabCon Barcelona FUGE + ADN Fabric
La FabCon ha vuelto a dejarnos una avalancha de anuncios sobre Microsoft Fabric, y seguirlos todos es casi un trabajo a jornada completa. Así que nos juntamos con los amigos de ADN Fabric para hacerlo por ti. En esta sesión conjunta repasamos las novedades más relevantes de la FabCon, sin humo y con criterio: qué es lo que de verdad cambia tu día a día, qué está ya disponible, qué sigue en preview y qué conviene ir probando. Qué veremos: Los anuncios más importantes, explicados en claro Demos en directo de las novedades que más nos han gustado Qué significa cada cosa para quien trabaja con Fabric y Power BI Turno de preguntas y debate abierto Para quién es: cualquier persona que trabaje con datos en el ecosistema Microsoft. No hace falta un nivel avanzado; si no has podido seguir la FabCon, este es tu resumen. Evento gratuito, organizado por Fabric User Group ESP y ADN Fabric. Te esperamos.8Views0likes0CommentsDAG Monthly Connect October 2026: Microsoft Fabric and Azure DevOps - The story so far
Microsoft Fabric was first announced during Microsoft Build 2023 and has become very popular in the Microsoft Data Platform community. In this session I go into details about how you can use Azure DevOps with it at this moment in time. Including Git integration and other ways that you can connect up to the Data Warehouse workload. During the session I will also introduce some Azure DevOps best practices. Speaker: Kevin Chant, Data Platform Professional. Data Platform & Developer Technologies MVP Organizers: Rajendra Ongole, Koundinya Lanka,Shashi,Navya K COO: Charitha Reddy, Meghana,Sreekar T 𝑹𝒆𝒈𝒊𝒔𝒕𝒆𝒓 𝒂𝒕 𝑴𝒆𝒆𝒕𝒖𝒑: https://www.meetup.com/dataanalyticgroup/ 𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝑮𝒓𝒐𝒖𝒑: https://chat.whatsapp.com/CkMRYzyoKSNKbXUs2IN2MU 𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝑪𝒉𝒂𝒏𝒏𝒆𝒍 L𝒊𝒏𝒌:https://whatsapp.com/channel/0029VaBgfAwDOQIeuTjGbF3u YouTube channel: https://www.youtube.com/@Dataanalyticgroup 𝑱𝒐𝒊𝒏 𝒖𝒔 𝒐𝒏 𝑭𝒂𝒃𝒓𝒊𝒄 𝑪𝒐𝒎𝒎𝒖𝒏𝒊𝒕𝒚 : https://community.fabric.microsoft.com/t5/Data-Analytic-Group/gh-p/DataAnalyticGroup 𝑨𝒍𝒔𝒐 𝒂𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆 𝒐𝒏 Discord: https://discord.gg/CGvZ2Nu9 𝑨𝒍𝒔𝒐 𝒂𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆 𝒐𝒏 Telegram: https://t.me/DataAnalyticGroup We look forward to having you attend the event!14Views0likes0CommentsFabric User Group Lima Perú– Kickoff 2026
¡Bienvenidos al Kickoff oficial de Fabric User Group Lima Perú! 🚀 Te invitamos a ser parte del lanzamiento oficial de nuestra comunidad, un espacio creado para compartir conocimiento, experiencias y buenas prácticas alrededor de Microsoft Fabric, Power BI, Data Engineering, Data Science, Gobierno de Datos, Inteligencia Artificial y Analytics. Durante esta jornada virtual contaremos con reconocidos especialistas de la comunidad, quienes compartirán sesiones técnicas, demostraciones, casos prácticos y experiencias reales trabajando con el ecosistema Microsoft Fabric. La agenda estará conformada por las siguientes sesiones: 🕘 9:00 a. m. – 9:40 a. m. | Cristiam Espinoza Inteligencia de Negocios con Microsoft Fabric Conoceremos cómo Microsoft Fabric permite cubrir el ciclo de vida completo de los datos, desde la ingesta y organización mediante una arquitectura medallón hasta el servido de información para Business Intelligence. También veremos cómo la plataforma empieza a integrar capacidades de Inteligencia Artificial mediante Data Agents. 🕤 9:40 a. m. – 10:20 a. m. | Luis Beltrán Introducción a Ciencia de Datos con Microsoft Fabric Una introducción al mundo de Data Science dentro de Microsoft Fabric, explorando cómo la plataforma permite trabajar con datos, notebooks y capacidades analíticas en un entorno integrado para desarrollar soluciones de ciencia de datos. 🕥 10:20 a. m. – 11:00 a. m. | Roberto Soto Cómo fortalecer la gobernanza de Power BI con APIs en Microsoft Fabric Descubriremos cómo utilizar APIs y las capacidades de Microsoft Fabric para mejorar la administración, automatización, monitoreo y gobierno de entornos de Power BI. 🕚 11:00 a. m. – 11:40 a. m. | Ricardo Rincón Entendiendo el consumo de CUs en Fabric de una vez por todas Una sesión enfocada en comprender cómo funcionan las Capacity Units (CUs) dentro de Microsoft Fabric, cómo interpretar su consumo y qué debemos considerar para administrar mejor nuestras capacidades. La sesión incluirá un simulador educativo para facilitar la comprensión de estos conceptos. 🕦 11:40 a. m. – 12:20 p. m. | Christian Moreno El costo oculto del Copy Data en Fabric Analizaremos qué sucede detrás de una operación de Copy Data en Microsoft Fabric, cómo puede impactar en el consumo de recursos y qué aspectos debemos considerar para diseñar procesos de integración de datos más eficientes. 🕧 12:20 p. m. – 1:00 p. m. | Nicolás Nakasone OneLake Security Unleashed: Redefiniendo la seguridad de datos en la era del Lakehouse en Fabric Exploraremos las capacidades de seguridad de OneLake y cómo Microsoft Fabric está evolucionando la manera en que administramos el acceso, protección y gobierno de los datos dentro de una arquitectura Lakehouse. Este evento está dirigido a profesionales, estudiantes y entusiastas de: Microsoft Fabric • Power BI • Business Intelligence • Data Engineering • Data Science • Data Governance • Data Architecture • Analytics • Inteligencia Artificial 💻 Modalidad: Virtual 📅 Fecha: sábado 26 de septiembre de 2026 🕘 Horario: 9:00 a. m. – 1:30 p. m. 🌎 Hora: Lima, Perú (UTC-5) 🗣️ Idioma: Español Además, durante el evento estaremos sorteando 9 vouchers de certificación entre los participantes para rendir los siguientes exámenes: DP-600: Implementing Analytics Solutions Using Microsoft Fabric DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric DP-800: Microsoft Fabric Data Agent (según la denominación oficial que estén utilizando para el voucher) Una excelente oportunidad para seguir fortaleciendo tus conocimientos, avanzar en tu ruta de certificación y continuar desarrollando habilidades en el ecosistema de Microsoft Fabric. ¡Participa durante toda la jornada y podrás ser uno de los ganadores! 🎉 ¡Los esperamos para aprender, compartir y conectar con la comunidad de Microsoft Fabric! 🚀207Views0likes2CommentsBuilding a Unified Data Platform for Healthcare Benefits Intelligence
Description Healthcare benefits data is one of the most underutilized strategic assets in enterprise organizations. Despite managing programs that generate millions of claims data points annually across medical, pharmacy, dental, and behavioral health lines, most organizations lack a unified data platform capable of turning this volume into usable intelligence. The result is siloed, reactive information that fails to inform the risk decisions driving organizational cost and employee outcomes, a challenge especially visible in large enterprises with significant annual financial exposure. This session presents a practical framework for building Enterprise Benefits Intelligence Platforms (EBIPs), scalable architectures that consolidate multi-source data from carriers, PBMs, TPA feeds, and eligibility systems into a single governed environment, dramatically reducing data latency versus siloed integrations. Attendees will explore how this foundation enables predictive risk stratification, utilization trending, and population health modeling, shifting organizations from reactive to proactive risk management, along with the governance models needed for HIPAA-compliant handling across complex vendor ecosystems. The session closes with decision intelligence layers that turn unified analytics into actionable dashboards for HR, Finance, and executive stakeholders. Attendees will leave with a replicable blueprint for modernizing benefits data infrastructure, drawn from real-world implementations.Fabric en Comunidad - Octubre 2025
Fabric en comunidad es un encuentro mensual online donde compartimos todo lo que está pasando en el ecosistema de Microsoft Fabric en España. Cada sesión incluye: Novedades de Fabric: repasamos las últimas actualizaciones, recursos y guías de aprendizaje. Voces de la comunidad: dudas, experiencias y aprendizajes compartidos por profesionales como tú. Eventos y comunidad: repasamos los encuentros recientes y damos voz a los organizadores e invitados de los próximos eventos. Camino a la FabConf: mantenemos viva la motivación con noticias, descuentos y novedades sobre la conferencia. Un espacio abierto, cercano y participativo para mantenerse al día, aprender y seguir construyendo juntos la comunidad de Fabric.8Views0likes0CommentsThe AI-Assisted Data Developer: VS Code, Copilot & Claude Across Fabric, Power BI and SQL Server
AI features keep landing inside the Microsoft data platform — but the biggest productivity jump happens in your editor, not in the portal. In this demo-driven session I'll take one business request and build the solution end-to-end without leaving VS Code: exploring and refactoring T-SQL with the MSSQL extension and Copilot agent mode, scripting and deploying Fabric items with the Fabric CLI, editing semantic models as code with TMDL and PBIR, and generating DAX (including the new DAX user-defined functions) with AI assistance — all under source control with Git. Along the way I'll show where GitHub Copilot shines, where Claude does better, the prompting patterns that actually work for T-SQL, DAX and PySpark, and the guardrails you need so AI-generated code never reaches production unreviewed. Expect honest bloopers: you'll see where the AI gets it wrong and how to catch it. You'll leave with a setup checklist (extensions, MCP servers, repo layout), a set of reusable prompt patterns, and a practical decision guide for what to delegate to AI — and what not to.Open Source Sprint, Hyderabad's Open Source Hackathon (14–15 Oct)
Hi everyone, Open Source Sprint, Hyderabad's largest open source hackathon, is happening on 14–15 October 2026 at Malla Reddy University. 📅 14–15 Oct | Day 1: 10 AM–3 PM, Day 2: 9 AM–3 PM 🏆 Prizes worth ₹4.5 Lakh+ 👥 Teams of 2–4 | Open Innovation, no fixed tracks 🎟️ Free entry Build anything: data pipelines, dashboards, AI/ML apps, or tools on Fabric and Azure. All projects will be open sourced on GitHub. Organised by Beyond | Title Sponsor: ElevenLabs | Tech Partner: Unifesto 🔗 Register: unifesto.app/event/oss-beyond 🌐 Details: wegobeyond.in/open-source-sprint See you there! Microsoft Fabric, Data & AI Community HyderabadProactive Data Quality Engineering for Microsoft Fabric Healthcare Data Pipelines
Description Modern healthcare organizations increasingly rely on Microsoft Fabric to unify data engineering, analytics, and reporting across cloud-native platforms. As Medicare datasets such as claims, eligibility, enrollment, and provider information traverse multiple ingestion, transformation, and analytics layers, maintaining data quality becomes essential for regulatory compliance, operational efficiency, and trusted decision-making. Traditional quality assurance approaches that validate data only after pipeline execution often identify defects too late, resulting in costly remediation and inconsistent analytical outcomes. This session presents a proactive data quality engineering framework designed for Microsoft Fabric environments, embedding validation throughout the end-to-end data lifecycle. The framework integrates source-level verification for schema conformity, completeness, and referential integrity; transformation-level validation for mapping accuracy, business rule enforcement, and aggregations within Data Factory and Synapse Data Engineering; and cross-layer reconciliation across OneLake and analytical datasets. By incorporating automated validation workflows into Fabric pipelines, organizations can detect anomalies earlier, improve traceability, and support continuous data quality monitoring at scale. The session also demonstrates how healthcare-specific validation rules can be aligned with Medicare business processes while leveraging Microsoft Fabric's unified architecture for orchestration and analytics. Attendees will gain practical guidance on implementing scalable validation strategies that enhance governance, strengthen compliance readiness, and establish reliable healthcare data pipelines capable of supporting high-quality analytics and business intelligence.