talk-data.com

🎯 The Problem: You have a shiny new Fabric capacity, but where do you even start? Lakehouse? Warehouse? Dataflows? The Microsoft documentation is 500+ pages, and every blog post assumes you already know the basics. 💡 This Evening: In 90 minutes, we'll show you the 4 essential building blocks of data engineering in Fabric - with live demos and the design decisions Microsoft made (and why they matter for YOUR architecture). ⏱️ Save yourself: 2-3 weeks of trial and error. We've compressed 4 weeks of Fabric Friday content into one power session. What you'll learn: 🏠 Lakehouse Architecture - Delta Lake\, Medallion Pattern\, and WHY the SQL endpoint is read-only by design 🔗 OneLake Shortcuts - Multi-cloud data access without copying\, and WHY internal vs external shortcuts differ 📓 Fabric Notebooks - Code-first data engineering\, and WHY %%python vs %%pyspark matters for performance 🔄 Dataflow Gen2 - Power Query at enterprise scale\, and WHY staging is the secret weapon Demos:

• Build a Lakehouse with Medallion Architecture
• Connect external S3/ADLS data with Shortcuts
• Transform data with both Notebooks AND Dataflows
• Compare: When to use which tool

Who should attend: Data Engineers, BI Developers, Solution Architects Agenda:

• 18:30 - Welcome & Networking
• 18:45 - Lakehouse & Shortcuts (Theory + Demo)
• 19:15 - Notebooks & Dataflows (Theory + Demo)
• 19:45 - Decision Framework: When to Use What
• 19:55 - Q&A and Discussion
• 20:00 - Networking & Drinks

🎯 The Problem: You have a shiny new Fabric capacity, but where do you even start? Lakehouse? Warehouse? Dataflows? The Microsoft documentation is 500+ pages, and every blog post assumes you already know the basics. 💡 This Evening: In 90 minutes, we'll show you the 4 essential building blocks of data engineering in Fabric - with live demos and the design decisions Microsoft made (and why they matter for YOUR architecture). ⏱️ Save yourself: 2-3 weeks of trial and error. We've compressed 4 weeks of Fabric Friday content into one power session. What you'll learn: 🏠 Lakehouse Architecture - Delta Lake\, Medallion Pattern\, and WHY the SQL endpoint is read-only by design 🔗 OneLake Shortcuts - Multi-cloud data access without copying\, and WHY internal vs external shortcuts differ 📓 Fabric Notebooks - Code-first data engineering\, and WHY %%python vs %%pyspark matters for performance 🔄 Dataflow Gen2 - Power Query at enterprise scale\, and WHY staging is the secret weapon Demos:

• Build a Lakehouse with Medallion Architecture
• Connect external S3/ADLS data with Shortcuts
• Transform data with both Notebooks AND Dataflows
• Compare: When to use which tool

Who should attend: Data Engineers, BI Developers, Solution Architects Agenda:

• 18:30 - Welcome & Networking
• 18:45 - Lakehouse & Shortcuts (Theory + Demo)
• 19:15 - Notebooks & Dataflows (Theory + Demo)
• 19:45 - Decision Framework: When to Use What
• 19:55 - Q&A and Discussion
• 20:00 - Networking & Drinks

🎯 The Problem: You have a shiny new Fabric capacity, but where do you even start? Lakehouse? Warehouse? Dataflows? The Microsoft documentation is 500+ pages, and every blog post assumes you already know the basics. 💡 This Evening: In 90 minutes, we'll show you the 4 essential building blocks of data engineering in Fabric - with live demos and the design decisions Microsoft made (and why they matter for YOUR architecture). ⏱️ Save yourself: 2-3 weeks of trial and error. We've compressed 4 weeks of Fabric Friday content into one power session. What you'll learn: 🏠 Lakehouse Architecture - Delta Lake\, Medallion Pattern\, and WHY the SQL endpoint is read-only by design 🔗 OneLake Shortcuts - Multi-cloud data access without copying\, and WHY internal vs external shortcuts differ 📓 Fabric Notebooks - Code-first data engineering\, and WHY %%python vs %%pyspark matters for performance 🔄 Dataflow Gen2 - Power Query at enterprise scale\, and WHY staging is the secret weapon Demos:

• Build a Lakehouse with Medallion Architecture
• Connect external S3/ADLS data with Shortcuts
• Transform data with both Notebooks AND Dataflows
• Compare: When to use which tool

Who should attend: Data Engineers, BI Developers, Solution Architects Agenda:

• 18:30 - Welcome & Networking
• 18:45 - Lakehouse & Shortcuts (Theory + Demo)
• 19:15 - Notebooks & Dataflows (Theory + Demo)
• 19:45 - Decision Framework: When to Use What
• 19:55 - Q&A and Discussion
• 20:00 - Networking & Drinks

Accelerating AI Readiness in Financial Services: From Data Foundations to Real-World Impact

Join Celestial Systems for a 30-minute live session designed for financial services leaders looking to operationalize AI initiatives with speed, scale, and success. Discover how to build strong data foundations and move from AI planning to production with confidence.

In this session, Jordan Nelson, Senior AI and Software Architect at Celestial Systems, will walk through practical approaches to preparing financial services data systems for scalable AI success. You’ll learn how to modernize your stack, improve data quality, and accelerate transformation with tools like Microsoft Fabric and Dataiku.

Register Here!

We will cover:

• How to plan and execute smooth data migrations that fit your current infrastructure.
• Why modern data warehousing improves data quality, accessibility, and your ability to generate insights.
• How tools like Microsoft Fabric and Dataiku support flexible experimentation, faster data transformation, and clearer reporting.
• Live demos showcasing production-ready pipelines and AI-enabled apps—built on Microsoft Fabric and Dataiku—so you can see the real-world potential of your own data modernization journey.

Why Attend? Whether you’re just beginning to explore AI or already piloting solutions, this session will equip you with frameworks, tools, and ideas to turn fragmented data into business intelligence—faster and with less friction.

Register Now!

Celestial: Empowering Enterprises Since 2001 Based in Vancouver, Canada with worldwide offices and a fully in-house engineering team, we combine a heritage of industry leadership in application engineering with deep expertise in data and AI solutions. At Celestial, we’re passionate about empowering enterprises to leverage the power of AI to unlock new opportunities, minimize risk, and sharpen their competitive edge.