Microsoft Fabric Updates Blog

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Enrich Power BI reports with machine learning in Microsoft Fabric

Many organizations want to go beyond descriptive Power BI reports and start answering forward‑looking questions with machine learning—identifying emerging trends, at-risk accounts, and where to focus effort to maximize impact. In practice, this is hard. Adding machine learning to Power BI often means moving data out of semantic models, rebuilding logic, managing separate storage and …

SQL database in Fabric: Built for SaaS, Ready for AI

Since SQL database in Microsoft Fabric became generally available in November, customer adoption has grown rapidly. Organizations are using it to simplify their data estates, eliminate ETL pipelines, and get their operational data ready for analytics and AI—without managing infrastructure. It’s a fully managed, SaaS-native transactional database built for what comes next. If you’ve been …

Supercharge AI, BI, and data engineering with Semantic Link (Generally Available)

Great technology does not succeed on design alone—it succeeds when it helps people solve real problems. Semantic Link is one of those transformative capabilities in Microsoft Fabric: it brings AI, BI, and data engineering together through a shared semantic layer, enabling teams to work faster and more intelligently on the data they already trust. From …

Adaptive time series visualization at scale with Microsoft Fabric

Coauthor: Slava Trofimov How much value would you generate for your enterprise if you could enable every user to unlock actionable insights in high-volume time-series data from your operations with real time, interactive exploration? Industrial operations generate staggering amounts of time series data. A single plant can easily produce tens of billions of sensor readings …

OneLake catalog: The trusted catalog for organizations worldwide

For years, organizations have aspired to build cultures where data is embedded into everyday decision-making. Generative AI is bringing that goal closer than ever with agents that can quickly answer questions with data. But at the core, this culture can only be achieved if agents and your people can easily discover and trust high-quality data. …