Fabric Influencers Spotlight: March 2026

[Marisa_Mathews]

Welcome to the March 2026 edition of the Fabric Influencers Spotlight, a recurring monthly post here to shine a bright light on the places on the internet where Microsoft MVPs & Fabric Super Users are doing some amazing work on all aspects of Microsoft Fabric.

The Microsoft Fabric Community team has created the Fabric Influencers Spotlight to highlight and amplify blog posts, videos, presentations, and other content related to Microsoft Fabric. We’ve cultivated submissions from members of Microsoft MVPs & Fabric Super Users from the Fabric community that cover the Fabric Platform, Data Engineering & Data Science in Fabric, Data Warehousing, Power BI, Real-Time Intelligence, Data Integration, Fabric Administration & Governance and Databases.

Microsoft Most Valuable Professionals, or MVPs, are technology experts who utilize their deep knowledge of Microsoft products and services to bring together diverse platforms, products, and solutions, to solve real world problems, and to bring “leading edge” content to the data community. To learn about the Microsoft MVP Award and to find MVPs, visit the official website.

Fabric Super Users are the heroes of the Fabric Community. They contribute helpful answers, write informative blog posts, post data stories and are key contributors to the Fabric product via engagement with the product group. To learn more about the Super User program, visit the official website.

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Power BI

Parul Sagar, LinkedIn

Affiliation: Super User

Blog: From Normalized Tables to Business Insights: Using CONCATENATEX in Moodle Analytics

CONCATENATEX addresses this gap by working with tables instead of individual values. It evaluates an expression for each row in a table, concatenates the results into a single string, and allows for sorting and applying delimiters. Operating as an iterator at runtime, it processes rows one by one to create easily readable summaries from row-based data, eliminating the need for complex visuals or reports.

Tharun Kumar Ravikrindhi, LinkedIn

Affiliation: Super User

Blog: Power BI — Stop Writing Format Strings for Every Measure | Use This One DAX UDF Function Inste...

Hardcoding format strings across every DAX measure is a pain. In my latest blog, I show how one DAX UDF handles all your numeric formatting needs, currency symbols, K/M/B/T scaling, bracket negatives, delta icons and more, all with just one DAX User Defined Function.

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Data Engineering

Vojtech Sima, LinkedIn

Affiliation: MVP

Blog: Fabric Dataflow Gen2 Partitioned Compute: Setup and Benchmark

Dataflow Gen2 Partitioned Compute promises to process multiple files in parallel and significantly drop your refresh times. In this post, I break down the exact setup process, including the required M code for your partition keys. More importantly, I put it through a strict benchmark against Dataflow Gen1 and native Python notebooks. Read on to see the raw performance numbers and find out if this preview feature is actually worth your time.

Alex Ward, LinkedIn

Affiliation: Super User

Video: This Changes Everything: Business Central Data in Fabric (Near Real-Time!)

In this step‑by‑step tutorial, I’ll show you exactly how to connect Dynamics 365 Business Central to Microsoft Fabric using Open Mirroring to provide near real-time data!
Whether you're a data engineer, consultant, or Business Central admin, this guide will help you modernize your data pipeline and unlock real‑time insights with zero manual exports.

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Data Science

Jennifer Ratten, LinkedIn

Affiliation: Super User

Blog: Fabric Data Agents: The Shift from Querying Data to Reasoning Over Knowledge

Fundamentals are getting a rewrite, and the new fundamental is something much more like a reasoning surface. The blog explains how Microsoft Fabric Data Agents move users beyond writing queries to reasoning over data, using AI to interpret intent, select the right data sources, and generate transparent, inspectable logic. Rather than just returning results, Data Agents show how conclusions are reached, bridging natural language, semantic models, and governed enterprise data to support more trustworthy, decision-oriented analytics.

Sahir Maharaj, LinkedIn

Affiliation: MVP

Blog: The Art of Mastering Principal Component Analysis (PCA) for Data Science in Microsoft Fabric

In this edition, we will explore Principal Component Analysis (PCA) - what it really means, how it works, and why it’s such a powerful ally. You’ll start by understanding the intuition behind PCA, then how it actually works under the hood, alongside when and why PCA is worth using, especially in real-world data scenarios where features overlap or patterns are hard to see. Finally, you’ll learn how to interpret the results inside a Fabric notebook.

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Fabric Platform, Administrative & Governance

Antoine Wang, LinkedIn

Affiliation: Super User

Blog: Piloter votre capacité Fabric comme un Pro

This post provides a practical guide on using the Microsoft Fabric Capacity Metrics app to monitor and optimize capacity consumption. It shares actionable tips for identifying resource-heavy workloads, understanding the difference between interactive and background operations, and avoiding capacity throttling. By mastering this tool, administrators can effectively scale their F-SKUs and control their Fabric billing.

Arwa Aldoud Omer, LinkedIn

Affiliation: Super User

Blog: Microsoft Fabric IQ: Beyond Unified Data — Toward Unified Meaning

This article focuses on Microsoft Fabric IQ as a new capability in the Fabric platform and how it helps address the challenge of inconsistent business definitions across teams. It explains how Fabric IQ enables organizations to model business concepts using ontology and connected data, making definitions clearer and more consistent across analytics and AI. The article highlights how this approach simplifies understanding, reduces KPI inconsistencies, and improves trust in data.

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Real-Time Intelligence

Amit Chandak, LinkedIn

Affiliation: MVP

Blog: Mastering JSON and Complex Data Formats in KQL

From basic JSON parsing to nested objects, arrays, and multi-format data ingestion in Microsoft Fabric. In this blog, we’ll work with JSON in KQL. We’ll start with simple objects and move to tougher stuff like nested structures, arrays, and mixed-format data. We’ll also look at how KQL handles XML, CSV within strings, and dynamic types.

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Data Integration

Matthias Falland, LinkedIn

Affiliation: MVP

Video: Copy Jobs - Bulk Data Loading Simplified

When is Copy Job the right choice? Not Mirroring, not live streaming, but the controlled batch loader you configure yourself. In this Fabric Friday episode, I walk through the complete Copy Job architecture (State Manager with Watermark/CDC tracking, Source Adapter, Destination Adapter, V-Order optimization), show the decision tree (is Mirroring supported? is CDC available? need control?), and demonstrate configuring an incremental load from Azure SQL.

Rene Fuerstenberg, LinkedIn

Affiliation: Super User

Video: SAP Mirroring in Microsoft Fabric with SAP Datasphere Step by Step Guide

SAP Datasphere first replicates SAP data into an Azure Data Lake Storage (ADLS) Gen2 container, which Microsoft Fabric then uses to create a mirrored SAP database. This mirrored database provides a continuously updated, read‑only copy of your SAP data inside OneLake without requiring complex ETL processes. Once mirrored, the data becomes immediately available in Fabric for analytics, SQL querying, data engineering, BI, and AI scenarios.

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Thanks for reading and we’ll see you next month!

That’s all for this month’s spotlight on the Microsoft Fabric Influencers. We wanted to extend our thanks to the MVPs and Super Users whose expertise continues to enrich the Fabric community. We anticipate the innovative ideas and valuable insights that will emerge in the coming months and invite everyone to stay engaged here on the Fabric Community Platform. Together, we will continue to deliver knowledge and collaboration that empowers every member of our community to achieve more. Stay tuned!