Understand the principles of unit and integration testing in Scala, focusing on best practices and tools for effective testing.

ElasticSearch, Logstash, Kibana, Beats , Elastic search, search

Learn how to programmatically embed Power BI content by using the Power BI REST API and the Power BI client APIs, enforce row-level security (RLS) for embedded content, automate common Power BI setup tasks, configure a development environment, and determine appropriate licensing.

You can embed any type of Power BI content in your apps. Including Power BI reports, report visuals, paginated reports, dashboards, dashboard tiles, and the Q&A experience. Your app can edit existing Power BI reports or create new ones, too.

This course discusses embedded C++ programming, with a focus on reduced resource needs, providing high-performance to safety-critical and real-time applications

Send messages to and receive messages from Azure Service Bus with Spring Boot applications.

In this module, you'll use eye tracking and voice commands in your Unity project and enhance user experience.

Change a JavaScript web app update mechanism from polling to push-based architecture with SignalR Service, Azure Cosmos DB and Azure Functions.

Connect sending and receiving applications with Event Hubs so you can handle high loads without losing data.

This module explores semantic search, embedding vectors, vector similarity, and using Azure Database for PostgreSQL - Flexible Server with PostgreSQL Vector and Azure AI extensions to generate, store, and query rows with semantic search.

This module will introduce you to using the property pane for client-side web parts created with the SharePoint Framework.

When your app users should only have access to view a subset of data, you need to develop a solution that restricts access to Power BI dataset data. The reason might be because some users aren't permitted to view specific data, such as sales results of other sales regions. Achieving this requirement commonly involves setting up row-level security (RLS), which involves defining roles and rules that filter model data.