With Azure Analysis Services you can scale your Power BI reports up to tens and hundreds of gigabytes of data. It is very fast in-memory database and analytical progressing engine with all the benefits of cloud scaling and security.
Data factory is currently go-to service for data load and transformation processes in Azure. In this article a common scenario of refreshing models in Azure Analysis Services will be implemented using ADF components including a comparison with the same process using Azure Logic Apps.
In 2017 asynchronous refresh API was released for Azure Analysis Services which allows users to refresh their models with simple REST calls. This allows for easy integration with their orchestration solutions. Learn how to build very simple logic apps and manage Azure Analysis Services refresh schedule.
Integration with on premises environments is one of more common cloud scenarios. Learn how to set up and Analysis Services hybrid environment with use of On-Premises Data Gateway.