In a recent session, Zane Goodman delves into the intricacies of building scalable solutions using Microsoft Fabric. This blog post summarizes the key points discussed in the video.
Zayn Goodman begins by introducing Microsoft Fabric and its relevance to PowerBI analysts. He poses critical questions about the benefits and starting points of using Fabric.
Two major features of Microsoft Fabric are highlighted:
Zayn explains how data is ingested into One Lake through various data stores available inside Fabric. He uses the lakehouse as an example, describing it as a container floating inside One Lake.
One Lake integration allows data from a PowerBI semantic model to be brought directly into Microsoft Fabric. This integration is demonstrated through a step-by-step process:
Zayn demonstrates how to use Dataflow Gen 2 for data transformation and loading:
After loading data into the lakehouse, Zayn creates a new semantic model in Fabric:
Zayn shows how to connect to the Fabric semantic model in PowerBI Desktop:
Zayn concludes by summarizing the process of ingesting, transforming, and loading data in Fabric, creating a semantic model, and connecting it to PowerBI Desktop. He emphasizes the benefits of using Fabric for scalable solutions.
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