I’ve been pretty quiet the past couple of months because I’ve been deep in Python, AI engineering skills, while staying steady with Fabric. I’m grateful to share that I’ve accepted the Senior AI Engineering role at my institution — something I’ve been working toward relentlessly since January. Thanks to everyone who shares their work here; it’s been a huge part of how I’ve kept moving.

Hey everyone, got some very exciting news... for the first time ever (and possibly the last time ever!), you can get 20% OFF a Fabric Dojo Annual Memberships. This deal is ONLY for the next few days, and might never return to be honest - so it's best to act quick! Who is Fabric Dojo for? Put simply, the Dojo is for you: - if you want to learn to build a data platform using Microsoft Fabric - then this is for you. - If you want to go beyond watching videos, and actually get hands-on, building data engineering solutions in Fabric, whilst learning best practices and tips and tricks along the way with 300+ other passionate, like-minded people. We have analysts in there, architects, engineers, managers, a broad mix, which is what makes it exciting! You can read more about WHO benefits from the Dojo by reading our Testimonials. I'm pretty sure Fabric Dojo is the most comprehensive collection of training on topics related to Microsoft Fabric Data Engineering & building your data platform. I've been working on it full-time for over a year now! You will have access to over 120 hands-on tutorials (See the full list here) covering Pipelines, Dataflows, CI/CD, Lakehouses/ Python/ Spark, REST APIs, Data Warehousing, Data Quality, Real-time, Capacities, Optimization, Architecture & much more. Including 40+ hours of solution walkthrough and explanations - we go deep! On top that we have TWO in-depth, real-world projects to tie everything together (this will take you 10 weeks to complete each of them). AND the DP-700 Bootcamp to accelerate your path to certification! AND I'm available everyday to answer your questions, and we have 48+ hours of live calls to network, learn, ask questions, get feedback on your solutions. To sign up, and take advantage of the deal:

A 45 minute keynote about Microsoft Fabric IQ, from Ignite Conference. Something to watch whilst you're having your morning coffee 😀😀 Who's excited about Fabric IQ?!

Hey everyone! This week, it's the IGNITE Conference in San Francisco! As such, Microsoft published their monthly list of Fabric Product Updates a little early this month! 👉🔗Here's the blog post: https://blog.fabric.microsoft.com/en-gb/blog/fabric-november-2025-feature-summary?ft=All 👉📽️ More visual? Here's the YouTube video by Adam: https://www.youtube.com/watch?v=Ym2ADQv1P7Y Some very big announcements hidden in there!! Take a look through and let me know your favorites! Here are some that caught my eye: - Azure DevOps Service Principal & Cross Tenant Support (Generally Available) - SQL database in Fabric (Generally Available) - Optimal Refresh for Materialized Lake Views (Preview) - Connect Data Agents to your Azure Search Index in Microsoft Foundry - Data Warehouse: IDENTITY columns (Preview) - Data Warehouse: Data Clustering (Preview) - Natural Language to Generate and Explain Pipeline Expressions with Copilot (Preview) - Lots more Mirroring source become GA - Connection Parameterization with Variable library for CI/CD (Generally Available) - Copy Job

There's been a few questions/ discussions about future jobs within Fabric. We're beginning to see companies recruiting for Fabric roles... exciting! Here's a few I found: Lead Data Modeler - Microsoft Fabric Senior Data Engineer (Microsoft Fabric) Data Engineer (Microsoft Fabric) GERMAN Microsoft Fabric Engineer (BELGIUM) Senior Consultant - Databricks and Microsoft Fabric Data & Analytics Engineer Principal and Senior consultant level Microsoft Fabric Data & Analytics Consultants I had the idea to create a video reviewing some of these job ads and picking out the common themes, to help people understand what they might need to focus on to get jobs in the future - what do you think of that concept? What you find that interesting? Let me know!