APAC Fabric Engineering Connection
🚀 Upcoming Fabric Engineering Connection Call – Americas & EMEA & APAC! Join us on Wednesday, January 14, 8–9 am PT (Americas & EMEA) and Thursday, January 15, 1–2 am UTC (APAC) for a special session featuring the latest Power BI Updates & Announcements from Ignite with Sujata Narayana, Rui Romano, and other members of the Power BI Product Team. Plus, hear from Tom Peplow on Developing Apps on OneLake APIs. 🔗 To participate, make sure you’re a member of the Fabric Partner Community Teams Channel. If you haven’t joined yet, sign up here: https://lnkd.in/g_PRdfjt Don’t miss this opportunity to learn, connect, and stay up to date with the latest in Microsoft Fabric and Power BI!Americas & EMEA Fabric Engineering Connection
🚀 Upcoming Fabric Engineering Connection Call – Americas & EMEA & APAC! Join us on Wednesday, January 14, 8–9 am PT (Americas & EMEA) and Thursday, January 15, 1–2 am UTC (APAC) for a special session featuring the latest Power BI Updates & Announcements from Ignite with Sujata Narayana, Rui Romano, and other members of the Power BI Product Team. Plus, hear from Tom Peplow on Developing Apps on OneLake APIs. 🔗 To participate, make sure you’re a member of the Fabric Partner Community Teams Channel. If you haven’t joined yet, sign up here: https://lnkd.in/g_PRdfjt Don’t miss this opportunity to learn, connect, and stay up to date with the latest in Microsoft Fabric and Power BI!Join the Fabric Partner Community for this Week's Fabric Engineering Connection calls!
🚀 Upcoming Fabric Engineering Connection Call – Americas & EMEA & APAC! Join us on Wednesday, January 14, 8–9 am PT (Americas & EMEA) and Thursday, January 15, 1–2 am UTC (APAC) for a special session featuring the latest Power BI Updates & Announcements from Ignite with Sujata Narayana, Rui Romano, and other members of the Power BI Product Team. Plus, hear from Tom Peplow on Developing Apps on OneLake APIs. 🔗 To participate, make sure you’re a member of the Fabric Partner Community Teams Channel. If you haven’t joined yet, sign up here: https://lnkd.in/g_PRdfjt Don’t miss this opportunity to learn, connect, and stay up to date with the latest in Microsoft Fabric and Power BI!
Taking Microsoft Fabric from POC to Production: Real World Lessons Learned
Hi everyone, I wanted to share some practical lessons learned from a real-world Microsoft Fabric implementation where we transitioned from an initial proof-of-concept to a fully operational, production-grade analytics platform supporting reporting and advanced analytics use cases. Architecture decisions early on made a significant difference. Defining a clear Medallion structure (Bronze, Silver, Gold) upfront helped set expectations around data quality, ownership, and consumption patterns. In practice, we found that being disciplined about what belongs in each layer reduced downstream rework and simplified troubleshooting as data volumes and use cases grew. Performance optimization was an ongoing process rather than a one-time task. As usage expanded, we had to iteratively tune ingestion patterns, storage layout, and semantic models especially when leveraging Direct Lake for reporting. Understanding query patterns, refresh strategies, and model design trade-offs was critical to maintaining consistent performance at scale. Governance proved essential for adoption. Implementing access controls, lineage, and certified datasets early helped build trust with business users and avoided the perception of Fabric as “just another data lake.” Clear ownership and metadata standards made it easier for teams to confidently self-serve analytics without compromising data integrity. Operational readiness often gets underestimated. Beyond building pipelines, we had to focus on monitoring, cost visibility, deployment practices, and support processes to ensure the platform could be sustained in production. Treating Fabric as an enterprise platform rather than a POC environment was a key mindset shift. I’m interested to hear from others in the community who have taken Microsoft Fabric into production. Have you encountered similar challenges around architecture, performance, governance, or operations? What approaches worked well for you, and what lessons would you share with teams starting their Fabric journey? Looking forward to learning from the community’s experiences.
In a Day (xIAD) Partner Events Program - Train the Trainer Events (DIAD/FAIAD/RTIAD/CDIAD)
We invite you to attend an upcoming Train the Trainer session for Microsoft Partners to learn more about the Microsoft In a Day (XIAD) Partner Events Programand how to lead workshops that empower customers to use and adopt Microsoft products. Our Train the Trainer events are designed to provide you with the knowledge and tools necessary to deliver successful Microsoft In a Day (XIAD) sessions. *Please note, participation is restricted to individuals representing a Microsoft Partner organization. You must register using your corporate email address that is associated with your Partner ID. Personal emails will not be approved. ✨ Why Attend? Expert Guidance: Learn from experienced trainers and get your questions answered. Comprehensive Resources: Access all the content and support you need to succeed. 📅 Upcoming Events: Dashboard in a Day This is a one-day, hands-on workshop for business analysts, covering the breadth of Power BI capabilities. February 19th, 2026 - Americas - CST time zone. Sign up at https://aka.ms/TTTSignUp Fabric Analyst in a Day This is an intermediate-level training designed for Power BI Data Analysts who have at least one year of experience on Power BI but are new to Microsoft Fabric. February 19th, 2026 - Americas - CST time zone. Sign up at https://aka.ms/TTTSignUp Real-Time Intelligence in a Day This is an intermediate-level training designed for Power BI developers looking to extract insights and visualize streaming and time sensitive data. February 19th, 2026 - Americas - CST time zone. Sign up at https://aka.ms/TTTSignUp Chat with your Data in a Day This is an intermediate-level training designed for Power BI data analysts and developers to help get their models chat-ready and unlock instant insights using natural language. Chat with Your Data in a Day - Americas - Jan 23 Chat with Your Data in a Day - APAC - Jan 28 Chat with Your Data in a Day - EMEA - Feb 17 Partner with us! Are you a Microsoft Partner interested in the opportunity to join the program and deliver Microsoft In a Day (XIAD) events? 🔍 Learn more about the program and review partner eligibility criteria: https://aka.ms/xiadpartneropportunity. 📧 Contact the XIAD Program team: xiadevents@microsoft.com 📤 Submit requests to deliver events: https://aka.ms/xIAD/PartnerEventsGeneral Availability of Mirroring Azure Database for PostgreSQL in Microsoft Fabric Is Here!
Unlock Real-Time Analytics on Operational Data—Now Enterprise-Ready Few weeks ago at Microsoft Ignite 2025, we announced General Availability (GA) of Mirroring for Azure Database for PostgreSQL flexible server in Microsoft Fabric. This milestone marks a major leap forward in empowering organizations to seamlessly integrate their operational PostgreSQL data into the Microsoft Fabric analytics ecosystem—enabling near real-time analytics, machine learning, and business intelligence without the complexity of traditional ETL pipelines. Why Mirror Operational Databases in Microsoft Fabric? Accelerate Analytics Without ETL Fabric Mirroring eliminates the need for complex, custom ETL pipelines. Data from your operational PostgreSQL databases is continuously replicated into OneLake as Delta tables, making it instantly available for analytics, machine learning, and reporting. This means you can: Run advanced analytics and AI on live data without impacting production workloads. Empower data scientists to experiment and innovate with up-to-date data. Create real-time dashboards and cross-database queries for comprehensive business insights. Unify governance and security under OneLake, reducing risk and operational overhead. Enterprise-Grade Security and Compliance With support for Entra ID, VNETs, and Private Endpoints, organizations can enforce strict access controls and network isolation. Mirroring is designed to meet the needs of highly regulated industries, ensuring data privacy and compliance at every step. High Availability and Reliability The new HA support ensures that mirroring sessions remain resilient to failures, delivering uninterrupted analytics even during server failovers. This is essential for mission-critical applications where downtime is not an option. Cost Efficiency and Simplicity Mirroring is offered at no additional cost, dramatically reducing the total cost of ownership for analytics solutions. By removing ETL complexity, organizations can focus on extracting value from their data rather than managing infrastructure. What’s New in GA? Building on the momentum of our Public Preview, the GA release introduces several enterprise-grade enhancements: Microsoft Entra ID Authentication: Secure, centralized identity management for all mirroring operations. Entra ID authentication streamlines access control and compliance, making it easier for organizations to manage users and roles across their data estate. VNET and Private Endpoint Support: Mirroring now works with PostgreSQL Flexible Servers deployed behind Virtual Networks (VNETs) and Private Endpoints, ensuring secure, private connectivity with no public exposure. This is critical for regulated industries and enterprises with strict security requirements. High Availability (HA) Support: Mirroring is now compatible with HA-enabled servers, delivering business continuity and seamless failover for mission-critical workloads. For PostgreSQL 17+, replication slot failover ensures uninterrupted mirroring even during planned or unplanned outages. Performance and Reliability Enhancements: The replication engine has been optimized for smoother onboarding, improved error handling, and higher throughput—supporting initial snapshot rates up to ~1TB/hour and change data capture (CDC) with minimal latency (as low as 5 seconds under optimal conditions). For a full list of prerequisites and setup guidance, see the official documentation. Microsoft Entra ID Authentication Support for Entra ID database roles includes: Setting up initial replication Managing ongoing Fabric communications Enabling Entra ID authentication on Flexible Server Handling Entra ID roles within your databases Choosing your role type for Mirroring VNET and Private Endpoint Support This feature ensure secure and efficient connectivity for flexible servers within Microsoft Fabric. Connecting to a flexible server without public connectivity enhances security during both initial setup and ongoing operations. Establishing a Virtual Network Gateway on the target VNET facilitates encrypted traffic between networks, while subnet delegation allows specific resources within a subnet to be managed for specialized tasks. The system supports servers restricted by Virtual Network (VNET) and Private Endpoint configurations, enabling robust network isolation and protection from unauthorized access. High Availability (HA) Support Fabric Mirroring supports high availability by enabling seamless failover and enhanced fault tolerance for servers configured with HA. This feature requires PostgreSQL version 17 or later, as replication slot failover is only available in these versions. If you are using an earlier PostgreSQL version, you will need to manually reconfigure mirroring after each failover event to maintain replication. Beyond PostgreSQL: Interoperability Across Azure Databases Fabric Mirroring is not limited to PostgreSQL. The GA release also includes support for other databases like: SQL Server (2016–2025): Native mirroring for on-premises, Azure VMs, and non-Azure clouds, with secure connectivity and analytics-ready Delta tables. Snowflake: Mirroring for managed and Apache Iceberg tables, enabling high-performance analytics and open-format interoperability. Cosmos DB: Continuous change capture and mirroring for globally distributed NoSQL data, supporting real-time personalization, fraud detection, and IoT analytics. This interoperability allows organizations to consolidate data from diverse sources into OneLake, unlocking unified analytics and AI across their entire data estate. By leveraging shortcuts in Microsoft Fabric, customers can reference data stored in different mirrored databases and storage accounts as if it resided in a single location. This means users can build cross-database queries and analytics pipelines without physically moving or duplicating data, avoiding the need for complex ETL processes or data integration solutions. Shortcuts make it possible to seamlessly join, analyze, and visualize data from SQL Server, Snowflake, Cosmos DB, and more within OneLake, streamlining analytics workflows and accelerating time to insight while reducing storage costs and operational overhead. Getting Started Ready to experience the power of Mirroring for Azure Database for PostgreSQL Flexible Server in Microsoft Fabric? Step-by-step tutorial: https://learn.microsoft.com/azure/postgresql/flexible-server/concepts-fabric-mirroring#enable-fabric-mirroring-in-the-azure-portal Role-based access guidance: https://learn.microsoft.com/fabric/mirroring/azure-database-postgresql-tutorial#database-role-for-fabric-mirroring Monitor and troubleshoot: https://learn.microsoft.com/azure/postgresql/flexible-server/concepts-fabric-mirroring#troubleshooting Public documentation: Fabric Mirroring for Azure Database for PostgreSQL Future Enhancements Looking ahead to the next future, our focus will be on delivering a series of post-GA enhancements designed to make Mirroring for Azure Database for PostgreSQL Flexible Server even more robust, versatile, and user-friendly. Key advancements will be in the following areas: automatic replication for newly created database tables when operating in auto-mode, ensuring that your mirrored environments remain up to date with minimal manual intervention. enhanced support for advanced DDL operations, giving users greater flexibility and control when managing schema changes on mirrored databases. expanding compatibility with additional data types—such as JSON, arrays, ranges, and geometry—will open up new scenarios for analytics and data integration, accommodating a wider range of workloads and use cases. support for partitioned tables, TOAST tables, and views will allow organizations to mirror more complex database structures, further streamlining operational analytics. enable the ability to mirror databases hosted on Read Replicas, which will help organizations optimize their high-availability and scaling strategies without compromising data consistency. Collectively, these planned features underscore our commitment to continuous improvement and to meeting the evolving needs of our users as they harness the full power of Microsoft Fabric for unified data analytics and AI. Conclusion The General Availability of Mirroring for Azure Database for PostgreSQL Flexible Server in Microsoft Fabric represents a significant advancement for organizations seeking to unlock real-time analytics, AI, and BI on their operational data—securely, reliably, and without ETL complexity. With new enterprise features, proven customer success, and broad interoperability, now is the perfect time to bring your operational databases into the Microsoft Fabric analytics era. Learn more and get started today: Fabric Mirroring for Azure Database for PostgreSQLAPAC Fabric Engineering Connection Call
🚀 Happy New Year to all the amazing Microsoft partners I've had the privilege to work with during 2025. I'm excited to announce the first presenter of 2026 for this week's Fabric Engineering Connection call! Join us Thursday, January 8, from 1–2 am UTC (APAC) for an insightful session from Benny Austin. This week’s focus: 🎯 Updates and Enhancements made to the Fabric Accelerator This is your opportunity to learn more, ask questions, and provide feedback. To participate in the call, you must be a member of the Fabric Partner Community Teams channel. To join, complete the participation form at https://aka.ms/JoinFabricPartnerCommunity. We look forward to seeing you at the call!Americas & EMEA Fabric Engineering Connection
🚀 Happy New Year to all the amazing Microsoft partners I've had the privilege to work with during 2025. I'm excited to announce the first presenters of 2026 for this week's Fabric Engineering Connection calls! Join us Wednesday, January 7, from 8–9 am PT (Americas & EMEA) for an insightful session from Yaron Canari: Discover, Manage and Govern Fabric Data with OneLake Catalog. This is your opportunity to learn more, ask questions, and provide feedback. To participate in the call, you must be a member of the Fabric Partner Community Teams channel. To join, complete the participation form at https://aka.ms/JoinFabricPartnerCommunity. We look forward to seeing you at the calls!Join the Fabric Partner Community for this Week's Fabric Engineering Connection calls!
🚀 Happy New Year to all the amazing Microsoft partners I've had the privilege to work with during 2025. I'm excited to announce the first presenters of 2026 for this week's Fabric Engineering Connection calls! Join us Wednesday, January 7, from 8–9 am PT (Americas & EMEA) and Thursday, January 8, from 1–2 am UTC (APAC) for insightful sessions from Yaron Canari and Benny Austin This week’s focuses: 🎯 Americas & EMEA: Discover, Manage and Govern Fabric Data with OneLake Catalog 🎯 APAC: Updates and Enhancements made to the Fabric Accelerator This is your opportunity to learn more, ask questions, and provide feedback. To participate in the call, you must be a member of the Fabric Partner Community Teams channel. To join, complete the participation form at https://aka.ms/JoinFabricPartnerCommunity. We look forward to seeing you at the calls!
