

Microsoft Fabric Jumpstart
Designed for Power BI and Power Platform professionals
Fabric changes how data is stored, moved, and billed. This course helps you make the right decisions early, avoid costly mistakes, and understand how Fabric fits with Power BI and the Power Platform.
This one-day Fabric Jumpstart is designed specifically for our Power Platform and Power BI community who need clarity, not hype.
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We start by resetting the mental model. Fabric is not just “another database” or “Power BI with extra steps”; it’s a ground shift in how you think about and use data.
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​Rather than walking through every feature, this course focuses on the decisions that matter most. You will learn how Fabric stores data, how the Lakehouse and Warehouse differ, and how data actually moves (or does not move) and saves you money – cha-ching! You’ll learn how Power BI fits into each scenario. We will also cover how Fabric is charged, how to monitor usage, and how teams avoid surprises on their bill.
This is not an implementation class or a sales demo. It is a practical introduction, informed by our real-world, hands-on experience, meant to help you decide if Fabric is right for your use case and how to use it responsibly if you move forward.
What you’ll be able to do after this course:
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Choose the right Fabric engine (Lakehouse vs. Warehouse) for real workloads
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Connect Power BI to Fabric the right way based on performance and cost
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Move data into Fabric intentionally, using ingestion, shortcuts, or mirroring
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Pick the right transformation approach instead of defaulting to the wrong tool
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Design Fabric solutions that don’t duplicate data unnecessarily
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Estimate and control Fabric costs before they become a problem
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Make informed architecture decisions instead of “trying things and hoping”
Only
299
$
Course at a Glance:

Monthly Office Hours

Hands-On Lab

Certificate of completion
What You Will Learn
How Fabric stores data, including the column-based storage model, why it exists, and how it differs from the relational databases you’re used to
When to use a Lakehouse vs a Warehouse, including how that choice impacts Power BI and Power Platform use, performance, and cost
How data can be transformed in Fabric, including the different transformation options and what each is best suited for
​A high-level understanding of Eventhouses, what they are used for, and why most Power Platform users will only encounter them in specific real-time scenarios
How Power BI works with Fabric, including differences between using Power BI with a Lakehouse versus a Warehouse
Ways to move data into Fabric, including ingestion, mirroring, and shortcut options to not copy data to Fabric but still use it
The Lakehouse engine, its features and security model, when it works well, and when it may not be the best choice
The Warehouse engine, how it differs from the Lakehouse, its strengths, limitations, and security considerations
An overview of Fabric agents, how they differ from Copilots in the Power Platform, how to prepare and structure your data to get the best results with AI
How Fabric is charged, how to monitor usage, and practical strategies to control and reduce costs
The goal is not to turn you into a Fabric expert in one day. Our goal is to give you the knowledge to make good architectural decisions, understand the relationship with the Power Platform, and avoid costly mistakes.
Who This Course is For
Power BI developers who want to understand how Fabric changes storage, and reporting decisions
Power Platform users who work with Dataverse and business apps and need to understand how Fabric fits into the broader Microsoft ecosystem
Technical leads and architects supporting Power Platform or analytics workloads
IT and data professionals evaluating Fabric as a potential data platform
Anyone asking, “Should we use Fabric for this?” and wanting an informed, practical answer
This course assumes you already work in the Microsoft ecosystem and are comfortable with Power BI and data concepts, but you do not need prior Fabric experience.
Meet Your Instructors

Sherri Schilling
Consultant
Sherri came to the Power Platform by way of a legal and business background (JD + MBA) and years as a federal HR executive. What drew her in was solving real-world problems, making processes easier, faster, and better, and that same curiosity now fuels how she teaches and builds with Power Apps, Power Automate, and Power BI. She loves learning new technologies (AI and machine learning are current favorites), and when she’s not building or teaching, she’s exploring the outdoors or new hobbies with her husband and their Malti-Poo, Charly, in Denver, Colorado.