Building Custom Data Experiences with Power BI and Fabric Apps (w/ Stephen Godderidge)

LIVESTREAM DATE/TIME 📅

August 21st 2026 - 9:30 AM (Pacific Time)

DESCRIPTION 📄

Power BI reports are great for helping people understand their data, but some scenarios call for more flexibility, customization, and interactivity than a traditional report can provide.

Fortunately, Fabric Apps gives developers a new way to build tailored data experiences on top of Microsoft Fabric and Power BI semantic models.

We'll cover:

• Where Fabric Apps fit alongside Power BI reports

• When a custom data app makes sense

• How these experiences can help users move from insight to action

If you build on Power BI semantic models and have run into the limits of what a report can do, this one is worth your time.

GUEST BIO (Stephen Godderidge) 👤

Stephen Godderidge is a Principal Product Manager for Power BI within Microsoft Fabric, where he focuses on developer integrations, data apps built with Fabric Apps, and the Model Context Protocol (MCP). His experience spans consulting, solution architecture, and product development, giving him a practical perspective on building scalable, developer-friendly data solutions. He is passionate about sharing what he learns and learning alongside the Microsoft data community.

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Your Core Model Isn't Supposed to Do Everything | Power BI Extensibility Layer Objects

Video by: Reid Havens

Here's something that trips up a lot of Power BI developers: not everything belongs in your core semantic model. Some objects are meant to live in a departmental layer. Some belong in a single report, knowing the difference changes how you build, and how well your architecture holds up over time.

In this video I walk through Power BI's extensibility layer objects: what they are, where each one belongs in your architecture, and when to actually use them.

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Full Guide | Analytic Endeavors

Power BI Report-Scoped Measures: 6 Patterns for Better Reports

Video by: Reid Havens

Report-scoped measures (aka report-specific measures) are one of the easiest ways to level up a Power BI report without turning your semantic model into a junk drawer.

In this video, I walk through my Visual & Report-Scoped Measures guide and show the art of the possible. No deep DAX theory, no data engineering detours, just practical patterns you can steal immediately.

We’ll cover:

• What “report-scoped” measures are (and when you should use them)

• Six practical patterns for enhancing report UX with measures

• Dynamic titles that respond to context

• Conditional formatting driven by measures (so visuals explain themselves)

• How to keep your model clean while still making reports more interactive and readable

If you build reports for humans (not just for your own amusement), this is a strong set of patterns to have in your toolkit.

Power BI to Plotly: Build AI Dashboard Apps - with Adam Schroeder

LIVESTREAM DATE/TIME 📅

March 6th - 9:30 AM (Pacific Time)

DESCRIPTION 📄

You’ve already invested in a Power BI semantic model. Cool. Now let’s actually use it outside the walls of a closed BI environment. In this session, Adam Schroeder (Plotly) shows how Plotly Studio can connect directly to your existing Power BI semantic model so you can build polished, production-ready data apps, powered by Python and accelerated with AI, without rebuilding or migrating your data.

You’ll learn how to:

• Build fully customized, production-ready data apps using Python (beyond drag-and-drop limits)

• Distribute apps broadly without getting crushed by per-user viewer licensing costs

• Own your branding, UX, and deployment strategy end-to-end

• Take a practical step toward operationalizing trustworthy AI on top of governed data

If you’re hitting the ceiling on Power BI customization, navigating licensing-based scaling challenges, or looking for more control over how insights (and AI) reach users, this is your playbook.

GUEST BIO 👤

Adam Schroeder is a Senior Developer Advocate at Plotly. He has helped grow the community through 1:1 relationships, contributing to 6 million Dash downloads per month. He’s taught Plotly Dash for over five years on YouTube as @CharmingData (over 60,000 views/month) and co-authored “The Book of Dash.”

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Plotly Studio