{"id":2059,"date":"2025-01-27T08:00:00","date_gmt":"2025-01-27T16:00:00","guid":{"rendered":""},"modified":"2025-01-27T08:09:29","modified_gmt":"2025-01-27T16:09:29","slug":"mirroring-operational-data-for-the-ai-era-with-striim-and-microsoft-fabric","status":"publish","type":"post","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/2025\/01\/27\/mirroring-operational-data-for-the-ai-era-with-striim-and-microsoft-fabric\/","title":{"rendered":"Mirroring operational data for the AI era with Striim and Microsoft Fabric"},"content":{"rendered":"\n

This blog is co-authored by Alok Pareek, Executive Vice President of Products at Striim and Shireesh Thota, Corporate Vice President of Azure Data. <\/em><\/p>\n\n\n\n

Businesses face the challenge of deploying next-generation applications across hybrid data estates with an ever-growing volume of data spread across diverse environments including from on-premises operational systems, software as a service (SaaS) applications running in multiple public clouds, events from edge devices, objects in file storage, messaging queues, and beyond. As companies increasingly rely on AI and real-time analytics to drive innovation, the ability to seamlessly integrate, process, and analyze this data with low latency has become more critical than ever. The need for a modernized data infrastructure that can support massive data volumes and deliver intelligent, actionable insights at the speed of business is essential.<\/p>\n\n\n\n

Striim and Microsoft\u2014Partnering for success with Open Mirroring in Microsoft Fabric<\/h2>\n\n\n\n

To meet the growing demands of modern data infrastructure,\u00a0Striim has deepened its longstanding collaboration with Microsoft\u00a0to offer a\u00a0new mirroring solution<\/a>\u00a0based on Open Mirroring that avoids complex Extraction Transformation Loading (ETL) to transform how businesses manage, integrate, and analyze their data. At the heart of this collaboration is Microsoft Fabric<\/a>, which is a comprehensive, unified data platform supporting an open format data that combines everything from data integration, analytics, real-time intelligence, business intelligence, and now operational databases. All of these services are supported by Microsoft OneLake, a unified intelligent storage layer that addresses the challenges of decentralized data teams working in silos.<\/p>\n\n\n\n

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Get started with your Microsoft Fabric free trial<\/a><\/div>\n<\/div>\n\n\n\n

With its fully managed service built on Microsoft Azure<\/a>, Striim enables businesses to continuously deliver fresh, real-time transactional data into Fabric for seamless, low-latency analytics and AI. As a key data integration partner for Microsoft Fabric, Striim plays a critical role in bridging the gap between siloed data environments, ensuring businesses can harness the full potential of their data with speed and precision.<\/p>\n\n\n\n

Mirroring operational SQL data with SQL2Fabric-Mirroring<\/h2>\n\n\n\n

SQL2Fabric-Mirroring<\/a> is a new managed mirroring service now available in the Microsoft Azure Marketplace, developed in collaboration with Microsoft Fabric product teams. This streamlined, automated solution offers a cost-effective, low-latency approach to unifying data from diverse systems into a single analytics platform. Powered by Striim\u2019s real-time data streaming capabilities, SQL2Fabric enables on-premises SQL databases to continuously replicate transactional data directly into Fabric OneLake, ensuring that data is fresh, consistent, and ready for analytics, AI, and decision-making.<\/p>\n\n\n

\"Architecture:<\/figure>\n\n\n\n

Mirroring delivers the operational data into an open, analytics-ready Delta Lake table format. SQL2Fabric Mirroring provides flexibility and scalability, enabling businesses to replicate data seamlessly from multiple sources, without being locked into proprietary formats.
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SQL2Fabric Mirroring solution highlights<\/h2>\n\n\n\n