Author: Alex Khodas

Azure Data Factory Migration to Microsoft Fabric Without the Rebuild

Moving a complex data pipeline while the business still depends on it can feel like changing the tires on a moving truck. Daily loads still have to run, finance still needs reports, and business users still expect Power BI dashboards to refresh on time. The good news is that an Azure Data Factory migration does […]

Total Economic Impact of Microsoft Fabric in 2026

Microsoft Fabric is more than a data tool, it’s a unified analytics platform for AI-ready reporting, governed data pipelines, and faster business decisions. For mid-market and enterprise teams, the pressure is obvious: cut data sprawl, reduce manual Excel reporting, and stop waiting on slow handoffs just to get a clean number on a dashboard. The […]

Microsoft Fabric for Supply Chain Analytics: Faster Decisions, Better Visibility

Late reports, disconnected spreadsheets, and slow answers are a bad fit for supply chain work, especially when demand, inventory, shipping, and production can change by the hour. Microsoft Fabric for supply chain analytics brings data integration, warehousing, real-time analytics, Power BI, and AI into one SaaS platform, with OneLake as the shared data foundation. That […]

Designing Microsoft Fabric Semantic Models for Executive KPIs

A KPI that varies between dashboards undermines trust and consistency. A Microsoft Fabric semantic model ensures consistency across all reports. It eliminates confusion and establishes a single source of truth for executives. By utilizing OneLake as the centralized storage foundation, organizations can ensure that data remains accessible and unified for every stakeholder. Leaders often see […]

Microsoft Fabric CI/CD That Works for Power BI and Lakehouse Teams

A Fabric release can break more than one report. It can affect a Lakehouse table, a pipeline, a semantic model, and the dashboard your CFO checks every morning. That is why implementing a robust Microsoft Fabric CI/CD strategy is essential for modern data teams. If your team works across Power BI, Data Factory, notebooks, and […]

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