A data warehouse is a centralized system used to store, integrate, and organize large amounts of data, often from a variety of sources, in order to prepare it for reporting and analysis. Microsoft Fabric offers users to easily create data warehouses within organizational tenant environment from which you can create reports directly in the Power BI service or by using the Power BI Desktop application.
Objects (data sources) within the Microsoft Fabric organizational environment can be easily leveraged in the Power BI Desktop application to create reports. These can be: Lakehouse, Warehouse, Datamarts (segments of the data warehouse, grouped by functional units, suitable for reporting), SQL Databases, KQL Databases… In this article, you will learn how to use Lakehouse tables to create reports.
Since Power BI has been transformed and become part of the Microsoft Fabric platform, we have a number of new, useful options at our disposal. OneLake is the place where all of an organization’s structured, semi-structured, and unstructured data now resides, and is stored in an open Delta Parquet format for ease of access, sharing, and management . The OneLake catalog is a feature within Microsoft Fabric that works as a centralized place to store, find, analyze data.
Microsoft Copilot is a chatbot, based on ChatGPT, and is integrated within many Microsoft services and applications. If you use it in Power BI Desktop reporting platform, it enables you to create quick measures and to generate DAX statements based on natural language. With Microsoft Copilot, creating measures has become much simpler, and you will find out how it is used in the “recipe” that follows.
For several years now, Power BI and Excel have been developing side by side with the idea that analysts do not save all their tables exclusively on a local computer, OneDrive or SharePoint repositories, but that they can also download them from Power BI reports that are published on the company’s tenant. If you use a Microsoft365 subscription that is connected to a company account, you can easily retrieve such tables.