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Semantic models are the foundation for report development in Power BI. Efficient management ensures data connectivity and improves report performance and accuracy.

Learn how to use generative AI models and agents with Microsoft Foundry.

Scale apps in Azure App Service

Advanced analytics helps you gain deeper insights into your data, identify trends, and make data-driven decisions. Power BI provides a variety of tools and features to help you analyze your data effectively.

DAX time intelligence functions in Power BI enable users to analyze and compare data across different time periods, supporting insightful reporting on trends, growth, and performance over time.

Use Power Query to clean and prepare data for analysis. Learn to simplify models, change data types, rename objects, pivot data, and profile columns to identify valuable data for deeper analytics.

Visual calculations in Power BI simplify complex formulas by operating directly on visual data. Learn to create visual calculations that enhance analysis without impacting model performance.

Data Analysis Expressions (DAX) is a formula language for Power BI that enables you to create calculations, add logic, and enhance data analysis within your reports and semantic models.

Identify your audience, choose suitable report types, and define interface and experience requirements to effectively plan your report design.

Azure Architects design and recommend Azure compute solutions.

Perform actions on a device using Microsoft Defender for Endpoint

Learn how to configure Azure Blob Storage, including tiers and object replication.