When is it advisable to use Azure Analysis Services?

Using Azure Analysis Services is particularly advisable for scenarios that involve smaller volumes of data and where the goal is to perform complex analytics and correlation across that data. This service excels in analytical scenarios where you need a semantic layer to facilitate easy access to data across different sources. It allows businesses to create rich analytical models, which can result in meaningful insights derived from the structured data stored in databases.

This is particularly beneficial for organizations that need to perform detailed analysis and reporting, using data to drive business intelligence decisions. By enabling users to explore data in a familiar manner, Azure Analysis Services simplifies data interaction and enhances the efficiency of querying against analytical models.

In contrast, options that mention very high volumes of data, streaming data processing, or data archiving do not align with the core capabilities of Azure Analysis Services. While it can handle significant datasets, it is often not the best choice compared to other services optimized for big data processing or real-time streaming analytics. Similarly, it is not designed for archiving data, which is better suited to other Azure storage solutions.