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1355 contributions to Learn Microsoft Fabric
DP-600 cleared!
Hi everyone, I've just passed DP-600 first time! The supports I used: - 6h DP-600 from Will - Thank you very much for this great video!!!!! - 4h DP-600 from Nikola (Data-Mozart) - Very valuable also. - 3h DP-600 exam questions from Pryianka - really close to the real exam questions - Test assessment from Microsoft Learn - also very close to the real exam questions. - And to deep dive some topic, MS learn. Thank you very much for this community help!
1 like • 13h
Top work Mirana!!
Purview Roadmap Updated
The Purview product roadmap has been updated... I've pulled out the Fabric-related features that might be of interest in the image below. You can download and look at the full PDF roadmap here. Thoughts?! 👀
Purview Roadmap Updated
2 likes • 3d
Looks like column-level lineage will take another year 🥲 But ANSI-SQL data quality checks coming in November - will be interested to see what that looks like
0 likes • 2d
@Kristy M Yeh, I haven't had much exposure to Purview in the past, but I have been following the roadmap (through the Fabric lens). It's taking a while to be honest to see much movement! For clarity, I believe the column-level lineage in the roadmap is specifically talking about Lakehouse assets, monitoring changes through notebooks.
Concerning Behaviour : Output Filter - Hate in Fabric
I observed a very concerning behaviour of AI model on Fabric recently. I asked it to translate values in English but for country names - Zimbabwe and Niger, it returned - <Outputfilter- hate>. How can it generate a hate word for country name translation?
1 like • 4d
Hi Shresth, please can you be a bit more specific, which AI model/ feature are you using in Fabric?
1 like • 3d
@Shresth Shukla Sorry, maybe I wasn't clear, I mean where are you trying to do this? Which feature are you using? It's likely they have AI Safety setup on the models! But in this case, sounds like an error - I was raise this in a ticket with Microsoft, because I don't think you can change the model for most of the Fabric AI features
Day 1 Keynote from FabCon Europe 2025 (with chapters, timestamps & summaries)
Hey everyone! Microsoft just released the Day One Keynote Recording from FabCon Vienna! I used AI to get some useful timestamps/ chapters and summary notes: Chapter 1: Opening & Vision for Fabric 0:00 – 1:14 - Intro video with music and narration. - Themes: Every organization has data, but being AI-ready requires more than just data—it requires integration, governance, and scalability. - Welcome to FabCon 2025. - Introduction of Arun Ulag (Corporate VP, Azure Data). Chapter 2: Arun Ulag’s Welcome & Context 1:14 – 2:27 - Over 4,100 attendees: customers, partners, community members. - FabCon Europe now Microsoft’s largest European conference. - Hundreds of Microsoft engineers, architects, and designers present to engage directly. - Hundreds of customers and partners sharing their Fabric journeys. - Transition to Satya Nadella’s video message. Chapter 3: Satya Nadella’s Message 2:27 – 4:07 - Data is the foundation of AI. - Fabric = complete data and analytics platform: - Fastest-growing database product in Microsoft history. - 25,000+ customers (London Stock Exchange, Siemens, Lumen, etc.). - Microsoft itself runs on Fabric (“customer zero”). - Announcements: - Closing: “We’re just getting started.” Chapter 4: The Need for Data Unification 4:13 – 7:13 - AI is only as good as the data feeding it. - Traditional database categories (SQL, NoSQL, lakehouses, vector DBs, etc.) are blurring. - Customers don’t want to integrate 18 different products → demand for unification. - Fabric: - Microsoft leads across 4 Gartner Magic Quadrants (data integration, cloud DB, AI, BI). - Fabric launched 22 months ago → 25,000+ customers, 80% of Fortune 500. - 50% of customers use 3+ workloads (Data Factory, SQL/Spark, Power BI). Chapter 5: Customer Story – Siemens 8:07 – 12:59 Guest: Christian Meyer, Head of Platforms at Siemens - Challenge: fragmented tools → need harmonization. - Solution: Siemens “Data in the iCloud” = global data mesh. - Benefits: - Obstacles: - Future: scaling real-time intelligence, bringing AI closer to data with copilots/agents.
1 like • 4d
@Andy Kay Should be good now - thanks for mentioning that @Andy Kay !
1 like • 3d
@Yael Bernstein glad to hear it Yael, best of luck for that!! I'm sure you will ace it
I passed my DP-600!
Hey everyone, last week i passed my DP-600 with a score of 874!! I am extremely grateful for you resources @Will Needham 🫶
0 likes • 4d
Great work @Nomusa Lembede - well done, how did you find the exam?
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Will Needham
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@will-needham-6328
I simplify Microsoft Fabric for data professionals. Passionate about teaching Data & AI.

Active 4h ago
Joined Jan 15, 2024
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