LESSON 10020 | POWER QUERY VS POWER PIVOT VS POWER BI VS EXCEL: WHEN TO USE EACH | Free Course
In this lesson, I demonstrate how Power Query, Power Pivot, and Power BI integrate with Excel to create a dynamic, scalable data analysis workflow. I begin by showing how Power Query allows you to import large datasets—even millions of rows—that Excel alone cannot handle, perform data transformations, and then load only the processed portion back into Excel. I then move on to Power Pivot, where I establish relationships between tables to create a data model, enabling seamless use of data across sources in PivotTables and PivotCharts. Finally, I illustrate how Power BI adopts a similar architecture: Power Query remains nearly identical, while the Power Pivot functionality is embedded within the Model View, providing relational logic without opening a separate interface. This video is ideal for professionals looking to understand how these tools operate independently yet in close coordination for efficient and scalable data reporting.
📺 Watch the entire playlist: 👉🏻 • POWER QUERY COMPLETE FREE COURSE and get the data pack: https://www.immalytics.com?utf_source...
Chapters
00:00 Understanding the ecosystem: Excel, Power Query, Power Pivot, and Power BI
01:03 Excel's row limit and why large datasets require Power Query
02:05 Using Power Query to import and transform data without Excel sheets
04:12 Power Pivot for modeling and creating relationships between tables
06:19 Doing the same in Power BI and comparison with Excel experience
08:56 Conclusion: Tools working separately but in coordination
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