Energy Pivot
To create in-memory data models, this component imports and combines various datasets from various sources. Any functional user can easily increase the overall value by combining different data sources thanks to such integration.
The most well-known instances of these integrations are when Power BI is used to analyze corporate sales, demographic, and weather data.
This component also supports intricate calculations, key performance indicators, and other metrics that data analysts can use to prototype and analyze various business scenarios.
It is vital to stay up-to-date at work by taking a Power BI Course.
Query Power
This feature, which is a game-changer for many analysts, searches for data across a variety of corporate data sources or online, and then seamlessly imports the chosen dataset into an Excel table. This component’s native data connectivity feature makes it possible to access the data more quickly and easily.
Power query performs crucial data modifications such as renaming columns, changing values, merging data, and more. This element is crucial because it makes data shaping and cleansing simple.
Energy View
Power View is the preferred component when it comes to displaying the data and making it even more interactive. The data is meant to be cross-filtered and highlighted. It almost feels like using Excel and PowerPoint tools when working with the data in the Power view component.
Along with supporting various maps with zoom and pan features, Power View also supports graphs, tabular data, and charts.
