Hey community! Are you using the Variable Library in Fabric?! I'm doing some research for a future YouTube video, and it would be great to open up a bit of a discussion around how you're using them so far, considering they are now Generally Available! What use cases are you using them for? Any tips to share about how you set them up? Or perhaps you're using the REST API endpoints for variable libraries for more advanced use cases? Any experience, big or small, would be useful to know about - so please share below! 👇👇👇

Microsoft have released a new 'reference architecture' for DataOps in Microsoft Fabric - lots of interesting stuff in here. From the GitHub repo: "This sample aims to provide customers with a reference end-to-end (E2E) implementation of DataOps on Microsoft Fabric, covering non-functional aspects such as observability, security, data quality, and testing. It is designed as a reference implementation and should be customized to meet specific customer requirements." Check out the repo here: 👉🔗 https://github.com/Azure-Samples/modern-data-warehouse-dataops/blob/main/e2e_samples/fabric_dataops_sample/README.md

yesterday i took the dp-700 exam. i think it went well but i will obviously get the results later since the exam is still in beta. i used the study guide for dp-700 and saw which topics were covered. Going through that list may be a good foundation. the exam had 63 questions including 2 cases. i had heard that there was some realtime data engineering on the exam so i did a recap of the exercises in microsoft learn around this. but as i said i haven't got the results yet so we will see

Yesterday, I took the new DP-700 exam (see yesterday's post here) ... here are some of my initial thoughts: - Overall, I really liked the exam, and the content. - It's a thorough test of someone's skills and knowledge in data engineering on the Fabric platform. - It tests your end-to-end knowledge and decision-making ability, especially around how different Fabric services interact with each other into a coherent solution (compared with the DP-600, which I felt was lots of questions from previous certs joined into one) - The required depth of your knowledge of SQL, Python/ PySpark and KQL is higher than DP-600. - There will be less chance to 'blag it' with this exam (i.e. people attempting the exam without practical experience and trying to pass), which is a good thing. If you're completely new to Fabric/ Data Engineering, I would probably not recommend taking the exam in this first voucher cycle, because it would require a LOT of effort on your part, and you still might not gain the required level of experience/ knowledge. With DP-600, it was more possible, DP-700 would be harder. Some topics I would like the DP-700 to cover, but it doesn't (to any real depth): - data quality & code quality (core skill for data engineers in 2025) - trusted workspace access/ managed private endpoints/ service principals - all those things vitally important for data engineers in the real world. From this point, this is my focus: - Preparing the second Live Study Session for the DP-700 Bootcamp in Fabric Dojo - if you want to sign up - now is a good time, because the pricing will be going up at end of January. - Preparing the first video for the YouTube series - hoping to start releasing on YouTube this week! Any questions about DP-700 exam? Let me know, happy to help 👇

Microsoft has released the official self-paced course for DP-700. Check it out here👉🏽 Course DP-700T00-A: Microsoft Fabric Data Engineer This course will eventually become the recommended self-paced material on the Fabric Data Engineer Associate certification page. So, if you plan on taking the exam once it goes GA, you might as well take advantage of this course and start preparing now. Also, find some helpful DP-700 discussions below: - DP-700 beta exam experiences and tips (by Ali Stoops) - DP 700 - Study Guide & Learn Collection When are you planning to take the DP-700 exam? Let us know how you’re preparing below👇🏽