From the course: Power BI: Integrating AI

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Analyzing dataset statistics and distributions

Analyzing dataset statistics and distributions - Power BI Tutorial

From the course: Power BI: Integrating AI

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Analyzing dataset statistics and distributions

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- [Narrator] In Power BI, we can easily create useful data sets by using the extract, transform, and load, or ETL framework. The extract step involves setting up the initial connections to the data sources. The transform step then lets us clean, integrate and enrich our data tables to ultimately make it performant. in the Power BI model. The load step takes these extracted and transformed data queries and pushes them into Power BI. If you'd like to learn more about the ETL framework, check out the Power BI Data Methods course in the library. The ETL framework is a must known when working with business intelligence applications like Power BI because it enables us to create scalable and replicable data sets that are easy to refresh. Let's explore how we can frame our AI thinking and approach within Power BI by creating a data connection to the generation data found on GitHub. We'll copy the URL from the top. Now let's connect to this data from GitHub in Power BI. We'll choose to get our…

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