4d (edited) • General
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.
Chapter 6: Customer Story – KPN
13:12 – 16:33
Guest: Heis, Chief Data & AI Officer at KPN
  • Challenge: fragmented, siloed data.
  • Needed: unified scalable data exchange platform.
  • Technology selection:
  • Microsoft partnership: close co-development with product teams.
  • Future goals:
  • Advice: Data is a strategic asset for AI—tools + employee mindset unlock value.
Chapter 7: Partners & Ecosystem Momentum
16:44 – 23:41
  • Partners are key to Fabric’s success (ISVs, SIs, consultants).
  • ISV Highlights:
  • Partner momentum:
  • Community growth:
  • Community video shown with testimonials.
Chapter 8: Product Announcements – Developer Experience
26:01 – 31:03
Speaker: Amir Netz (CTO of Fabric)
  • Keynote split into 3 parts: platform, One Lake, business value.
  • Developer-first focus:
  • Full CI/CD coverage:
Chapter 9: Demos – Developer Productivity with Eren
31:03 – 36:42
  • New notebook experience: Power Query-style connections in Lakehouse.
  • Multitasking tabs → IDE-like environment.
  • Color-coded workspaces for clarity.
  • Variable libraries for parameterized shortcuts.
  • Improved deployment pipelines & workspace management.
Chapter 10: Spark & Data Engineering
37:14 – 41:16
  • Spark momentum: 15,000 customers, 300,000 notebooks created weekly.
  • 47% performance improvement in the past year.
  • Migration success: Norwegian developer AOS migrated 600 notebooks, 87 lakehouses.
  • Announcements:
Chapter 11: Data Warehousing
41:16 – 42:26
  • Heavy investments in modern MPP warehousing.
  • 40 performance improvements → 36% faster in 6 months.
  • 6× growth in adoption in past year.
  • New Warehouse Migration Assistant GA → AI-assisted, UX-friendly migrations.
Chapter 12: Graph Capabilities in Fabric
42:33 – 49:14
Guest: Tessa
  • Native graph capabilities built into Fabric.
  • Built by the same team that developed LinkedIn’s social graph.
  • Features:
  • Demo: building a marketing campaign graph (linking people, posts, tags, products).
Chapter 13: Real-Time Intelligence
49:45 – 53:42
  • 46% of Fabric customers already using it (6× usage growth in a year).
  • Customer story: Iceland Foods (retail) → uses real-time intelligence for store operations.
  • Scale:
  • Announcements:
Chapter 14: Databases & Translytical Approach
53:52 – 1:00:38
  • Fabric adds SQL & NoSQL databases (Cosmos DB) with SaaS simplicity.
  • Study shows databases in Fabric improve:
  • Coming soon: GA for Fabric databases.
  • Concept: “Translytical” = blending transactional + analytical in one platform.
  • Demo with Patrick & Amir:
Chapter 15: OneLake & Data Factory Momentum
1:00:44 – 1:08:30
  • Transition from databases (pillar 1) → Pillar 2: OneLake.
  • OneLake = “OneDrive for data”: unified storage, always open format.
  • Massive scale:
  • Data Factory adoption:
  • Dataflow Gen2 announcements:
Chapter 16: Shortcuts & Mirroring
1:08:39 – 1:18:14
  • Mirroring + shortcuts = easier ingestion without heavy ETL.
  • Customer story: James Hall mirrored 0.5B rows → cut latency from hours to minutes.
  • New sources:
  • Shortcut enhancements:
  • New OneLake Table API:
  • Demo: Joining BigQuery + Oracle + S3 emails (with AI sentiment) into OneLake, shared seamlessly with Snowflake.
  • Diagnostics & security:
  • Stats: 30M+ catalog users across 230,000 orgs (Excel, Teams, Fabric, etc.).
Chapter 17: Security & Governance Announcements
1:18:24 – 1:19:09
  • Security moving from tenant level → workspace level.
  • New features:
  • More details promised in Day 2 keynote (Kim’s session).
Chapter 18: Power BI – 10 Years of Growth
1:19:09 – 1:21:20
  • Transition to Pillar 3: Delivering business value.
  • Power BI adoption:
  • Power BI turns 10 years old.
  • Community reflections video: career transformations, friendships, user groups.
  • Semantic models = heart of Power BI (critical for AI to reason over business data).
Chapter 19: Web Modeling in Power BI
1:22:03 – 1:27:17
  • Announcement: Web Modeling GA (full parity with Desktop).
  • Available to Mac users for the first time.
  • Features:
  • Demo: Weather + sales dataset modeled directly in web → report built in browser on Mac.
Chapter 20: Copilot in Power BI Apps
1:27:17 – 1:31:30
  • 1/3 of Power BI users only consume via Apps.
  • Announcement: Copilot in Power BI Apps (Public Preview).
  • Features:
  • Demo: Zava sales app → summary, Austria filter, sentiment deep dive, search for reports.
Chapter 21: Maps in Fabric
1:31:48 – 1:37:35
  • New Fabric item: Maps (Public Preview).
  • Purpose: go beyond static visuals → real-time location intelligence.
  • Demo (Zava company campaign):
  • Enables real-time geospatial BI apps inside Fabric.
Chapter 22: Closing & Next Steps
1:37:45 – 1:39:07
  • Recap of 3 pillars:
  • Upcoming:
  • Arun closes keynote, thanks community.
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6 comments
Will Needham
8
Day 1 Keynote from FabCon Europe 2025 (with chapters, timestamps & summaries)
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