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Power BI Guide
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 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 offers a range of features and tools for data visualization — including pre-built and custom visualizations, report building, and dashboards.
What is a 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 build more advanced calculations and expressions.
A DAX query is a specific type of formula or expression used to retrieve data from a data model. It can define a calculation or expression, or extract data 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 is a data connection and transformation tool available in Power BI and Excel. It allows users to import data from a wide range of sources and prepare it for analysis.
Power Query provides a range of features for transforming and cleaning data, such as merging and appending datasets, replacing values, and removing duplicates. Once data is imported, it can be transformed using the tool's various functions, and the resulting data can be loaded into a data model or directly into an Excel worksheet. Power Query is particularly useful for working with large or complex datasets, or for integrating data from multiple sources.
Power Query vs. DAX Query
Power Query and DAX serve different but complementary purposes. Power Query is used to import, clean, and prepare data, while DAX is used to create calculations and measures within a data model.
For example, you might use Power Query to import data from multiple sources, merge and clean it, 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 — such as a measure that calculates total sales for a given period. Those calculated fields and measures can then be used in Power BI reports and dashboards to visualize and analyze your data.
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