Second anniversary, thank you!
Two years, 60+ technical articles, 9 in-depth series; I’m beyond grateful for everyone who’s read, shared, or supported my work, thank you.
Lab 5: Real-Time Dashboards
In the final lab of the Real-Time Intelligence series, you’ll build the Gold layer using materialized views and create a real-time dashboard powered by live KQL queries. Learn how to turn streaming data into instantly actionable insights with dynamic visuals that auto-refresh.
Lab 4: Automate data ingestion and alerting with Activator
Learn how to build the Silver layer of your Medallion architecture and keep it updated automatically using Update Policies, then configure real‑time alerts with Activator to detect operational issues in bike stations as they happen
Lab 3: Enrich your real-time data stream with external data
Learn how to enrich your real-time streaming data with external dimension tables, organize your KQL tables with folders, and perform KQL joins to create insights by region—laying the foundation for Silver & Gold layers in the Medallion Architecture.
Lab 2: Handle a continuous stream of real-time data
Learn how to handle a continuous stream of real-time data in Microsoft Fabric. In this lab, you’ll create an Eventstream, apply transformations, route data to a KQL database, and explore streaming insights using KQL queries.
Lab 1: Exploring Real-Time Intelligence Experience
Set up your Fabric real-time workspace by creating an Eventhouse, renaming your KQL database, and exploring the Real-Time Hub and workload tools. This lab establishes the foundation for streaming analytics in the Fabrikam Bikes scenario
Fabric Real-Time Intelligence Hands-on Labs (Series)
A hands-on lab series that teaches you how to build real-time data pipelines in Microsoft Fabric using Eventstreams, KQL databases, enrichment techniques, alerts, and dashboards. Follow a realistic bike rental scenario to apply Medallion architecture and Real-Time Intelligence features step-by-step.
Deployment Pipelines in Fabric: The Right Way to Handle Lakehouse Shortcuts
Learn how to use Microsoft Fabric’s Variable Libraries to keep Lakehouse shortcuts environment-specific without overwriting them — plus why using environment-agnostic names simplifies your deployments and code.
Fabric Data Engineer (DP-700) Exam Suggested Study guide
As part of my prep for DP-700 (Fabric Data Engineer), I turned my study notes into a lightweight cheat sheet and collected the exact sources I used along the way
Reader asks about Fabric (Series)
This series shares answers to real-world Microsoft Fabric questions I receive from readers and the community. A space for practical, quick insights—straight from the field. Got a question? Reach out, it might inspire the next post!
Why my deployment pipeline override Lakehouse shortcuts?
Fabric deployment pipelines promote content across environments, but Lakehouses lack rule support—so shortcuts get overwritten. Exclude them from pipelines or automate with REST APIs (e.g., via Fabric Catalyst) to maintain environment-specific configurations.
Removing Orphan Fabric Deployment Pipelines
Learn how to remove orphan Fabric Deployment Pipelines step by step. From grabbing a token in your browser to using admin-scoped APIs in Postman, this guide shows how to reclaim access, reassign admins, and clean up workspaces.