Activity
Mon
Wed
Fri
Sun
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
What is this?
Less
More

Memberships

Learn Microsoft Fabric

14.3k members • Free

3 contributions to Learn Microsoft Fabric
We're building a Real-World Fabric Platform (10 week build!)
Hey everyone, it's Will here. I hope you are having a wonderful week! Just wanted to share some exciting updates from our second community Fabric Dojo - we are just about to start building a Real-World Fabric Solution, over a 10-week period. So if anyone is looking to gain real-world experience with Fabric (to help you get/ excel in a job) - then this will be a great opportunity for you! This project is designed to simulate the type of Fabric solution you would build within a real enterprise environment. You will be challenged to think, design, and deliver like a professional Fabric Data Engineer — from strategy through to implementation. By the end of this project, you will: - Understand how all engineering components of Microsoft Fabric interact as part of a coherent, end-to-end data platform - Develop the ability to move from business outcomes and client requirements, through solution architecture design, and into the build and delivery phase - Experience a realistic project lifecycle, including iteration, validation, refinement, and presentation Here's the schedule for the next 10 weeks or so: - Project Kick-off (15 Oct - but you can catch the recording): Introduction to the real-world client, project context, and goals - Sprint 1 (20–27 Oct): Capacity & Workspace Design - Define Fabric capacities and workspace strategy based on client needs - Sprint 2 (27 Oct – 3 Nov): CI/CD & Automation - Establish GitHub repository & develop CI/CD & Automation strategy, based on the client requirements. - Sprint 3 (3–10 Nov): Data Architecture & Data Stores - Design data architecture and implement Fabric data stores - Sprint 4 (10–17 Nov): Data Extraction - Build ingestion pipelines from client source systems (in some instances, synthetic data will be provided to protect sensitive data) - Sprint 5 (17–24 Nov): Data Transformation - Design a scalable transformation framework across architectural layers - Sprint 6 (24 Nov – 1 Dec): Data Validation & Quality - Implement data validation framework and centralised DQ monitoring - Sprint 7 (1–8 Dec): Orchestration - Build orchestration layer to integrate extraction, transformation, and validation processes - Sprint 8 (8–15 Dec): Logging & Alerting - Implement operational logging and alerting across the platform - Extension Sprint 9 (15 Dec – 5 Jan): Further Development - For those that want to push their skills even further, I'll be providing a number of extension tasks to be completed over the Christmas period. These will include: developing a end-to-end testing framework & developing Infrastructure-as-Code templates to support future platform evolution. - Project Showcase & Closeout (5 Jan): Present your final solution to “the client” (the community and Will) & Celebration and next steps discussion
We're building a Real-World Fabric Platform (10 week build!)
0 likes • Oct 17
I’d like to contribute as an SME Please let me know
Cleared DP 600 in first attempt!!
Hello All, I cleared my certification in Fabric in the first attempt. I have almost 2 years of experience in Fabric for Data Engineering. I followed Will’s course 6h video on YouTube for preparation. It covers most of the things asked in Fabric DP 600 However you need to also be familiar with KQL, DAX measures in depth. To prepare for this most apt reference is Microsoft Learn. All the best to all the prospective exam candidates
0 likes • Aug 13
@Yael Bernstein Thanks 😁
0 likes • Aug 13
@Christopher Holmes Thanks 😁
Preparing for MS DP 600
I came across Will’s channel while preparing for certification. Though I have 1.8 years of experience of building data pipleline and developing reports. The video was so so useful
1-3 of 3
Kaushik Nagwekar
2
2points to level up
@kaushik-nagwekar-9543
Experienced Data Engineer with 5+ years of experience

Active 60d ago
Joined Jul 14, 2025
Powered by