This course will teach you how to design a data model with Power BI.

Learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns.

The monitoring of an identity solution is critical to every environment. This course covers how to monitor AD, Azure AD, and other components used in a hybrid identity solution.

Understanding what insight you have into available cloud services is critical to architecting the right monitoring strategy. This course looks at the key monitoring technologies in Microsoft Azure to gain the maximum insight into your environment.

This module will demonstrate how Viva Glint helps organizations design a people-centric measurement strategy through our validated taxonomy of measures and robust benchmarks.

In this module, you'll learn how to create a data model with Azure data studio. You'll create indexes and tables and use data types to help develop your applications.

The use of OneDrive, Git repositories, and Power BI deployment pipelines allows us to follow application lifecycle management techniques. This reduces administrative overhead and provides continuity in the development process.

The process of creating a complicated semantic model in Power BI is straightforward. If your data is coming in from more than one transactional system, before you know it, you can have dozens of tables that you have to work with. Building a great semantic model is about simplifying the disarray. A star schema is one way to simplify a semantic model, and you learn about the terminology and implementation of them in this module. You will also learn about why choosing the correct data granularity is important for performance and usability of your Power BI reports. Finally, you learn about improving performance with your Power BI semantic models.

In this module, you'll learn the phases of a migration and the steps involved to ensure your migration project is executed smoothly. You'll also learn the purpose of data platform modernization and see the benefits it can bring to your organization.

Learn to create a robust test automation framework using Selenium and Java, focusing on best practices for automated testing.

This module will introduce Azure Cosmos DB modeling, shard keys and indexing concepts. We will also discuss Azure Cosmos DB for MongoDB collection's support for MongoDB aggregation pipelines.

Learn about the MVVM design pattern and how it can separate your business logic and user interface code. Learn how viewmodels are designed and why they're an important part of the pattern.