What is power BI?
Power BI is a business analytics service provided by Microsoft. It provides interactive visualizations with self-service business intelligence capabilities, allowing users to create reports and dashboards by using various data sources. Power BI is available as a standalone product or as part of certain Microsoft 365 subscriptions. It can be used to analyze data, create reports and charts, and share insights through interactive dashboards. Power BI can connect to a wide range of data sources, including Excel, SQL Server, and Azure Cloud services, and it has a range of features and tools for data visualization, including pre-built and custom visualizations, report building, and dashboards.
What is DAX Query?
DAX (Data Analysis Expressions) is a formula language used in Power BI, Power Pivot, and SSAS (SQL Server Analysis Services). It is used to create calculated columns and measures in a data model, as well as to create more advanced calculations and expressions.
A DAX query is a specific type of formula or expression that is used to retrieve data from a data model. It can be used to define a calculation or expression or to extract data from a data model using filters and other criteria. DAX queries are written using a specific syntax and can include functions, operators, and references to columns and measures in the data model
What is Power Query?
Power Query also provides a range of features and tools for transforming and cleaning data, such as merging and appending data, replacing values, and removing duplicates.
Once data is imported into Power Query, it can be transformed and cleaned using the tool’s various features and functions, and the resulting data can then be loaded into a data model or directly into a worksheet in Excel. Power Query can be used to perform a wide range of data integration and transformation tasks, and it is particularly useful for working with large or complex data sets, or for connecting to and integrating data from multiple sources.
Power Query vs DAX query
while DAX is used for creating calculations and measures in a data model. Power Query is typically used to prepare data for analysis, while DAX is used to perform the analysis and create calculated fields and measures based on that data.
For example, you might use Power Query to import data from multiple sources, merge and clean the data, and then load it into a data model. Once the data is in the model, you could use DAX to create calculated columns or measures based on that data, such as a measure that calculates the total sales for a given period. You could then use those calculated fields and measures in Power BI reports and dashboards to visualize and analyze your data.