Tuesday, April 14, 2026 | 8 mins read04/14/2026 | 8 mins read
Power BI Dataflows Gen1 is entering a legacy, maintenance-only phase, signaling a broader architectural shift rather than a simple product update. Gen1 was designed for a BI‑centric, self‑service era, optimized for report preparation with limited reuse, governance, and scalability. As data platforms evolve to support multiple personas, AI, and shared data assets, these design constraints become structural limitations. Microsoft Fabric and Dataflows Gen2 introduce a different model: centralized transformations, OneLake‑based storage, and reuse across analytics, engineering, and AI workloads. Gen2 is not a drop‑in replacement but part of a unified, Fabric‑native architecture. Migration should therefore be treated as a strategic modernization effort, not a lift‑and‑shift exercise, to improve reuse, governance, performance, and AI readiness.
Tuesday, March 31, 2026 | 11 mins read03/31/2026 | 11 mins read
As organizations adopt AI-driven analytics, exposing trusted data to Copilot and Fabric Data Agents requires strong architecture—not just enablement. Microsoft Fabric Data Agents add conversational analytics over governed data, but report-embedded semantic models create fragile AI behavior, unclear cost ownership, and governance risk—especially as customers migrate from Power BI Premium to Fabric capacities. Through two Contoso case studies, the article shows why extracting reusable, standalone semantic models is essential for AI readiness. By combining governed semantic models with Fabric Mirroring for Oracle, organizations achieve predictable AI costs, stable and explainable AI responses, centralized security (RLS/OLS), and scalable foundations for Data Agents and future Copilot experiences. The key takeaway: AI succeeds when semantics are treated as first-class data products.
Saturday, March 7, 2026 | 9 mins read03/07/2026 | 9 mins read
In this article, Pablo addresses a common question following his piece on Fabric Real-Time Intelligence (RTI): whether organizations should migrate Power BI real-time streaming solutions to Fabric RTI, Azure Databricks, or Tableau. He argues this is not a simple product swap but a fundamental architectural shift. Power BI streaming was designed for lightweight, ephemeral visualization of live signals, while Fabric RTI is a full real‑time analytics platform built for persistence, governance, automation, and AI-driven decisions. With Power BI streaming entering sunset and retirement planned for 2027, RTI represents Microsoft’s strategic future—unifying event ingestion, storage, analytics, and actionability. Pablo explains why migration should be incremental, what new capabilities RTI unlocks, and why alternatives like Databricks or Tableau often miss the mark. The real shift is from real‑time dashboards to real‑time intelligence.
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