Customize, annotate, and export a variety of visualizations.

Identifying design and deployment processes that conform to organizational policies will help you in developing for finance and operations apps, and ensure that code is deployed to the correct environments to avoid issues in production.

Use Desktop Analytics to evaluate clients health information to plan an update deployment.

Learn how you can interact with the Azure Machine Learning workspace. You can use the Azure Machine Learning studio, the Python SDK (v2), or the Azure CLI (v2).

This module explains the benefits of using encryption to protect drives and files against unauthorized access.

Explore two capabilities in the DevOps taxonomy, Continuous Security and Continuous Operations.

Use Endpoint analytics to help identify policies or hardware issues that ultimately create a poor user experience, and help remediate those issues.

Examines the requirements necessary to implement a hybrid deployment, including Microsoft Entra Connect, the options for connecting on-premises Exchange to Microsoft 365, and the Microsoft 365 identity options for Exchange hybrid.

Finance and operations apps are customized by using extensions, which let you add functionality to model elements and source code in the Application Object Tree (AOT) by using Visual Studio.

Relational database systems are a common way to store and manage transactional and analytical data in organizations of any size around the world.

Azure Cosmos DB provides a highly scalable store for non-relational data.

Learn the fundamental principles of analytical data modeling and data visualization, using Microsoft Power BI as a platform to explore these principles in action.