D365 Customer Insights & Microsoft Fabric : l’organisation centrée client et données en fr

In today’s competitive environment, delivering a personalized customer experience has become a strategic necessity. This session explores how Dynamics 365 Customer Insights (Data) and Microsoft Fabric can help organizations become both customer-centric and data-driven. Through a real-world use case, we will demonstrate how to unify customer data from multiple sources using Fabric connectors, leverage artificial intelligence for advanced segmentation and insights, enrich profiles with external data, automate large-scale personalization across channels, and measure the impact of customer- and data-driven strategies to optimize performance. Attendees will see how these technologies can boost customer satisfaction, increase revenue, and enhance operational efficiency.

Level: Beginner, intermediate, advanced
Target audience: Bank executives and marketing/sales managers.
Ideal duration: 45 minutes (adaptable).
First public presentation: ArchiFridays.
Format: Presentation, workshop, demonstration
Language: French, English
Media: Slides, live demonstration, case studies.

D365 Customer Insights & Microsoft Fabric : Building a customer and data-centric organization en fr

Dans un environnement toujours plus concurrentiel, offrir une expérience client personnalisée est devenu un levier stratégique. Cette session montre comment Dynamics 365 Customer Insights (Data) et Microsoft Fabric permettent de transformer une entreprise en une organisation à la fois centrée sur le client et pilotée par les données. À travers un cas d’usage concret, nous découvrirons comment unifier les données issues de sources multiples grâce aux connecteurs Fabric, analyser et segmenter la clientèle avec précision à l’aide de l’intelligence artificielle, enrichir les profils clients avec des données externes, automatiser la personnalisation des expériences omnicanales et mesurer l’impact des stratégies orientées client et données pour optimiser la performance. Les participants comprendront comment ces approches unifiées renforcent la satisfaction client, stimulent les revenus et améliorent l’efficacité opérationnelle.

Niveau : Débutant, intermédiaire, avancé
Public cible : Dirigeants et responsables marketing/ventes de banques.
Durée idéale : 45 minutes (adaptable).
Première présentation publique : ArchiFridays.
Format : Présentation, atelier, démonstration
Langue : Français, anglais
Supports : Diapositives, démonstration en direct, études de cas.

“FabOps or FinOps: Who’s Fabric’s Best Friend?” en fr

In a world where every capacity unit matters, how can we balance analytical performance with cost efficiency in Microsoft Fabric? This session explores the key principles of FinOps applied to Microsoft’s unified data platform. Through real-world examples, we’ll learn how to adopt a FabOps mindset—optimizing capacity usage, leveraging pricing models, and aligning spending with actual needs. A must-attend for data leaders, financial stakeholders, and cloud engineers.

This session is intended for professionals with a basic understanding of Azure services and Microsoft Fabric. Pricing information is based on publicly available sources at the time of the session. All FinOps strategies should be tailored to your organization’s specific technical and contractual context.

« FabOps ou FinOps : qui est le meilleur allié de Microsoft Fabric ? en fr

Dans un monde où chaque unité de capacité compte, comment concilier performance analytique et maîtrise des coûts dans Microsoft Fabric ? Cette session vous propose une plongée dans les enjeux FinOps appliqués à la plateforme unifiée de Microsoft. À travers des exemples concrets, nous découvrirons comment adopter une stratégie FabOps : optimiser l’usage des capacités, tirer parti du modèle de tarification, et aligner les dépenses avec les usages réels. Un rendez-vous incontournable pour les décideurs data, responsables financiers et ingénieurs cloud.

Cette session est destinée aux professionnels ayant une connaissance de base des services Azure et de Microsoft Fabric. Les éléments tarifaires présentés sont basés sur les références en vigueur au moment de la session. Toute stratégie FinOps devra être adaptée au contexte technique et contractuel de votre organisation.

From Lakehouse to Production: A Practical Guide to CI/CD in Microsoft Fabric en fr

This session offers a step-by-step walkthrough of implementing CI/CD pipelines for Microsoft Fabric. Whether you're deploying notebooks, datasets, or Power BI reports, learn how to industrialize your processes by applying DevOps best practices to the Fabric ecosystem. We’ll cover Git integration, automated testing, deployment to target environments, and more—ensuring agility without sacrificing governance.

Attendees should be familiar with Git and either Azure DevOps or GitHub Actions. Demonstrations are based on Fabric capabilities currently available in public preview. Some APIs and deployment processes may evolve.

De l’usine à la prod : CI/CD dans Microsoft Fabric, mode d’emploi en fr

Cette session vous guide pas à pas dans la mise en place d’un pipeline CI/CD pour Microsoft Fabric. Qu’il s’agisse de notebooks, de datasets ou de rapports Power BI, découvrez comment industrialiser vos déploiements en appliquant les meilleures pratiques du DevOps à l’univers Fabric. Intégration avec Git, automatisation des tests, publication dans des environnements cibles… un tour complet pour concilier agilité et gouvernance.

La session suppose une connaissance préalable de Git, Azure DevOps ou GitHub Actions. Les démonstrations se basent sur les fonctionnalités de Fabric actuellement disponibles en public preview. Certaines APIs et processus peuvent évoluer.

A Fabric-powered approach to customer engagement: from raw data to real-time action en

In this session, we explore how to architect and scale customer engagement strategies using Microsoft Fabric as the backbone of a unified data and analytics platform. By combining Microsoft Fabric, Power BI, and Dynamics 365, we’ll demonstrate how to break silos between data, CRM, and marketing systems to generate real-time insights and measurable actions. This session focuses on building a secure, governed data environment leveraging OneLake, data domains, pipelines, notebooks, and Direct Lake mode. We will also cover identity governance (via Entra ID), role-based access control, and Zero Trust security principles to ensure compliance and safe collaboration across business units. Based on a real-world use case, this talk provides both architectural depth and hands-on demonstrations.

Target audience: Data architects, functional consultants, CRM leads, Power Platform professionals, and security-minded IT pros.
First public delivery: Yes.
Preferred session duration: 60 minutes (optionally adjustable to 45 minutes).
Technical requirements: HDMI projection, internet access (optional), audio output for demo narration.
Speaker location: Based in Europe (France).
Real customer context: Built with real-world data architecture and governance challenges.

Scaling Data-Driven Platforms: Implementing GitOps Workflows with Microsoft Fabric en

Managing large-scale data platforms with GitOps brings both new opportunities and challenges. In this session, we will share how we implemented GitOps workflows to automate deployments of Microsoft Fabric workspaces, pipelines, and security configurations.
We will cover the use of open-source tools like Terraform and GitHub Actions, solutions to edge cases such as dependency management and secret rotation, and lessons learned from real-world failures and improvements.
This talk offers a practitioner’s perspective, focused on reusable strategies and avoiding vendor-centric narratives.

We will not promote any vendor solutions. The session will focus on practical implementations, open-source tooling, and real-world experiences applying GitOps principles to a modern data platform environment, following CNCF’s community guidelines.

Mettre en œuvre GitOps et DevOps dans Microsoft Fabric : De la théorie à la pratique en fr

Découvrez comment allier les principes de GitOps et DevOps pour optimiser la gestion de vos artefacts et déploiements dans Microsoft Fabric. À travers une approche concrète, nous aborderons :

- Les concepts fondamentaux de GitOps et DevOps
- L'architecture cible pour intégrer Fabric avec Git et des pipelines CI/CD
- Une démonstration pratique du déploiement automatique d’artefacts Fabric
- Les bonnes pratiques pour assurer sécurité, gouvernance et observabilité

Cette session s’adresse aux professionnels des données, développeurs, DevOps engineers et architectes souhaitant moderniser leur gestion des solutions analytiques dans Microsoft Fabric.

Il est recommandé d’avoir une connaissance de base de Microsoft Fabric, Git, et des principes CI/CD. Aucun prérequis technique spécifique n’est exigé pour assister à la session.

Implementing GitOps and DevOps in Microsoft Fabric: From Theory to Practice en fr

Learn how to combine GitOps and DevOps principles to optimize the management and deployment of your artifacts within Microsoft Fabric. Through a practical approach, we will cover:

- Core concepts of GitOps and DevOps
- Target architecture for integrating Fabric with Git and CI/CD pipelines
- A hands-on demonstration of automatic deployment of Fabric artifacts
- Best practices for ensuring security, governance, and observability

This sesssion is designed for data professionals, developers, DevOps engineers, and architects who want to modernize their analytical solutions management within Microsoft Fabric.

Basic knowledge of Microsoft Fabric, Git, and CI/CD principles is recommended. No specific technical prerequisites are required to attend.

Boost your SharePoint Data Integration with Microsoft Fabric, Python, and AI Builder en fr

Managing SharePoint integration within Microsoft Fabric requires overcoming native API limitations while ensuring data quality and scalability. This session demonstrates how a Python Notebook can automate large-scale data ingestion, handle SharePoint API thresholds, and apply AI Builder models for document enrichment and classification.
Through a fully operational scenario, structured and semi-structured data will be processed intelligently, combining modern data engineering practices with AI capabilities from Microsoft Power Platform.
The focus is placed on practical implementation, performance optimization, and leveraging the full potential of Fabric-native orchestration tools.

- This session includes a practical demonstration using Microsoft Fabric, Python, SharePoint Online, and AI Builder.
- Some familiarity with Python and Power Platform will help you follow along, but all concepts will be explained clearly.
- Having access to a Fabric workspace and a Power Platform environment is useful for later experimentation.
- The focus will be on real-life examples and practical tips, with minimal slides.
- Aim: provide you with simple, reusable techniques for data integration projects.

Optimiser l'intégration des données SharePoint avec Microsoft Fabric, Python et AI Builder en fr

La gestion de l'intégration des données SharePoint dans Microsoft Fabric nécessite de surmonter les limites natives des API tout en garantissant la qualité et la scalabilité des traitements. Cette session présentera comment automatiser l’ingestion de données à grande échelle via un Notebook Python, gérer les seuils SharePoint, et appliquer des modèles IA Builder pour l’enrichissement et la classification documentaire.
À travers un scénario opérationnel complet, les données structurées et semi-structurées seront traitées de manière intelligente, en combinant ingénierie des données moderne et capacités d’IA de la Power Platform.
L'accent sera mis sur l'implémentation concrète, l'optimisation des performances et l'utilisation des outils natifs de Fabric.

- Cette session proposera une démonstration pratique avec Microsoft Fabric, Python, SharePoint Online et AI Builder.
- Une familiarité de base avec Python et la Power Platform sera utile, mais tous les concepts seront expliqués de manière accessible.
- Disposer d'un environnement Fabric et d'un tenant Power Platform facilitera les expérimentations après la session.
- L'accent sera mis sur des exemples concrets et des conseils pratiques, avec un minimum de slides.
- Objectif : vous transmettre des techniques simples et réutilisables pour vos projets d'intégration de données.

Automating Microsoft Fabric Deployment with Terraform en

Modern analytics environments demand speed, reproducibility, and strong governance. This session will demonstrate how to automate the deployment of Microsoft Fabric resources using Terraform and its official provider.

Through practical demonstrations, the session will cover provider configuration, an overview of key resources (official documentation), automated deployment scenarios, and best practices for ensuring modularity, security, and full deployment traceability.

This session is designed for cloud professionals, DevOps engineers, solution architects, and anyone involved in infrastructure automation for modern data platforms.

The session will include a live demonstration of deploying a Microsoft Fabric environment using Terraform. The session is open to all skill levels, although basic knowledge of Terraform and Microsoft Fabric concepts is recommended to fully benefit from the content.

Agile delivery of a modern Data Platform with Microsoft Fabric en

Building a data platform can no longer follow long, sequential project cycles. This session demonstrates how to apply Agile principles (incremental delivery, responsiveness to change, continuous collaboration) to rapidly deploy a modern Data Platform using Microsoft Fabric.
Key practices will be shared, such as delivering "Minimum Viable Data Products" (MVDP), organizing teams by business domains (Data Mesh approach), and establishing lightweight governance to enable innovation.

A practical demonstration will showcase the iterative construction of ingestion pipelines, Lakehouse models, and business dashboards across sprints.
The focus is placed on maximizing delivered business value, maintaining alignment between IT and business stakeholders, and fostering autonomous data teams.

-This session focuses on best practices, practical experience, and Fabric demonstration.
- Basic knowledge of Agile methodologies (Scrum/Kanban) and modern Data Platform concepts is recommended.
- Migration from on-premises systems to Fabric and advanced topics (such as Fabric Real-Time Analytics) are not covered.
- The demonstration is conducted in a Microsoft Fabric development environment.

From DataOps to DevSecOps: Building secure data apps with Microsoft Fabric en

In a cloud-first environment, data application security must be built in from the start. Microsoft Fabric, Microsoft’s unified analytics platform, empowers developers and data engineers to design, deploy, and secure data-driven applications guided by DevSecOps principles. This session will show how to architect secure solutions using OneLake, Lakehouse, Pipelines, and Notebooks, enforce security and compliance from development to production, and safely integrate generative AI features while protecting sensitive data. Attendees will learn how to apply DevSecOps practices across data workflows, safeguard data with Microsoft Purview and RBAC, and use Copilot and AI responsibly within Fabric.

- Target audience: Data engineers, developers, cloud architects, DevOps and security professionals, AI practitioners
- Technical level: Intermediate to advanced
- Tools & platforms covered: Microsoft Fabric, GitOps, Microsoft Purview, Azure DevOps, Power BI, Copilot
- Technical requirements: Live demo requires access to Fabric workspace and GitHub/Azure DevOps repo for CI/CD illustration

Apache Arrow vs Microsoft Fabric: Performance, Integration, and Governance in Practice en

This session offers a hands-on comparison of two modern analytical architectures: Apache Arrow, known for ultra-fast in-memory processing, and Microsoft Fabric, a unified analytics platform built on Delta Lake, Apache Spark, and Direct Lake.

We will walk through:
- How both environments were set up in Azure (AKS, Fabric Lakehouse)
- A benchmark scenario using IoT telemetry data at scale
- Measured performance results: latency, read/write efficiency, transformation
- Integration patterns with Power BI, Python, SQL Notebooks
- Governance, security, and enterprise readiness

This session is ideal for data engineers, architects, and BI professionals evaluating high-performance data processing frameworks. We will conclude with a live demo showing how the test pipeline was implemented and measured.

Leveraging the Model Context Protocol for Decentralized Digital Twins en

The Model Context Protocol (MCP) is transforming how AI systems share context and interact with heterogeneous environments.
In this session, we explore an innovative use case: applying MCP to design decentralized digital twins for smart infrastructures.
We will demonstrate how MCP enables seamless connections between IoT sensors, AI models, and simulation engines without relying on a centralized platform—enhancing resilience and reducing vendor lock-in.

Intermediate-level session.
Target audience: architects, developers, and innovators working on AI and distributed systems.
No prior MCP experience required.

Streamline M&A integration with smart Dynamics 365 & Power Platform strategies en fr

Mergers and acquisitions bring unique challenges in unifying business processes, IT landscapes, and data. This session explores a practical framework to choose between Brownfield, Greenfield, and Bluefield approaches when implementing Dynamics 365 and Power Platform (Dataverse).
Attendees will learn how to evaluate business alignment, technical complexity, and change readiness to determine the optimal strategy for their organization. Real-world insights and decision models will help IT leaders and architects streamline post-merger integrations while managing risk and maximizing value.

Target audience: IT leaders, enterprise architects, solution architects, and program managers involved in post-merger integration projects

Technical level: 200 (intermediate) – focus on Dynamics 365, Power Platform (Dataverse), integration patterns, and governance

Preferred session duration: 45 minutes + 15 minutes Q&A

First public delivery: September 2025 (ArchiFridays, DynamicsMinds, Directions EMEA)

Requirements: Basic knowledge of Dynamics 365 Sales, Dynamics 365 Finance & Operations, and Power Platform Dataverse recommended

Accélérez l’intégration post-fusion avec des stratégies Dynamics 365 et Power Platform intelligentes en fr

Les fusions et acquisitions présentent des défis uniques pour aligner les processus métier, consolider les systèmes informatiques et harmoniser les données.
Cette session propose un cadre (Framework) pratique pour choisir entre les approches Brownfield, Greenfield et Bluefield lors de la mise en œuvre de Dynamics 365 et de la Power Platform (Dataverse).

Les participants apprendront à évaluer l’alignement métier, la complexité technique et la capacité au changement afin de déterminer la stratégie optimale pour leur organisation.
Des retours d’expérience concrets et des modèles décisionnels éprouvés aideront les responsables IT et les architectes à accélérer l’intégration post-fusion tout en maîtrisant les risques et en maximisant la valeur créée.

Public cible : responsables IT, architectes d’entreprise, architectes solution et chefs de programme impliqués dans des projets d’intégration post-fusion

Niveau technique : 200 (intermédiaire) – focus sur Dynamics 365, Power Platform (Dataverse), modèles d’intégration et gouvernance

Durée recommandée : 45 minutes + 15 minutes de questions/réponses

Première présentation publique : septembre 2025 (ArchiFridays, DynamicsMinds, Directions EMEA)

Prérequis : connaissances de base de Dynamics 365 Sales, Dynamics 365 Finance & Operations et Power Platform Dataverse recommandées

Hybrid Dynamics 365 CE Architecture: Resilience, Zero Trust, and AI en

While many organizations are moving fully to the cloud, others must retain part of their environment on-premises due to compliance, security, or data sovereignty requirements. In this session, Rodrigue Yengo presents a practical framework for designing a hybrid architecture that merges the robustness of Azure IaaS with the flexibility of cloud-native services. Attendees will learn how to achieve high availability with SQL Server Always On, clustering, and load balancing; enforce Zero Trust security using Azure AD and MFA; and integrate AI models for predictive analytics and intelligent automation. The session also highlights seamless interoperability with Microsoft 365 (Teams, Exchange, Power Automate) and Azure (Blob Storage, Monitor, Key Vault).