Summary  
This chapter covers creating a dedicated date dimension by using CALENDARAUTO to generate a continuous calendar, adding calculated columns for year, month, quarter, and week number, marking it as the official date table, and establishing relationships to enable time-intelligence functions.  

General domain of usage  
Business intelligence and time-based data analysis

Time intelligence functions in Power BI require a dedicated Date table, and this chapter shows you exactly how to build one. You'll use CALENDARAUTO to generate a complete, continuous calendar from your data's date range, then add calculated columns for Year, Month, Quarter, and Week Number.

You'll mark the table as an official date table, connect it to the Sales table through relationships, and verify everything works with a line chart showing monthly revenue. By the end, your model is fully connected and ready for the YTD and Year-over-Year measures in the next chapter.

Why can't you simply use the `OrderDate` column in the `Sales` table for time intelligence calculations instead of creating a separate `Date` table?

Master the skills needed to turn raw data into professional, interactive reports using Power BI. You'll connect to data sources, clean and transform data with Power Query, build data models, write DAX measures, and publish polished dashboards to Power BI Service. No prior experience required.

Get hands-on experience with Power BI Desktop: understand where it fits in the modern data stack, install it, explore the interface, connect to your first dataset, and build your first bar chart.

Master the skills needed to clean, transform, and combine data using Power Query – from filtering rows and adding columns to merging tables and reshaping data with pivot operations.

Explore the essentials of relational data modeling and DAX – build star schemas, define relationships, write measures, and use time intelligence functions to answer real business questions.

Dive into the fundamentals of Power BI visuals – choose the right chart type, configure slicers and filters, add drillthrough navigation, and create bookmark-driven interactive experiences.

Transform the way you present data by applying layout and design principles, building multi-page reports, setting up row-level security, and publishing to Power BI Service with scheduled refresh.

Gain a solid understanding of the end-to-end Power BI workflow by completing a guided project – from data preparation and modeling to building a multi-page dashboard and publishing it to the Service.

Creating a Date Table