As organisations adopt Microsoft Fabric Data Warehouse for analytics, reporting, and ETL pipelines, thousands of queries can run daily across different workloads—Warehouses, BI reports, data pipelines, ad-hoc analysis, and automated processes. Without clear identifiers, it becomes difficult to determine: Which queries power critical reports and dashboards Which pipelines are consuming the most compute Which workloads are causing performance bottlenecks Query Labels  in Fabri

📌 Overview Data Wrangler  in Microsoft Fabric  provides an interactive, no-code interface  for cleaning, transforming, and exploring your data directly inside a Fabric Notebook .It bridges the gap between visual data prep and reproducible code — letting you explore data interactively and automatically generate Python (Pandas or PySpark) scripts for production. 💡 Why Use Data Wrangler? Capability Description 🧩  Visual Interface Clean spreadsheet-like grid for exploring and

Microsoft Fabric promises a unified, end-to-end data platform that integrates storage, transformation, reporting, and AI capabilities under one roof. For the NHS, this is particularly valuable: multiple Trusts, ICSs, and community services can benefit from consistent reporting, streamlined submissions, and faster insights for patient care. But as with any enterprise platform, success is not guaranteed. Many implementations stall or under-deliver because of missteps early in t