"Microsoft's best cloud tool, Best for analytics"
Use Cases and Deployment Scope
Azure Analysis Services support various data sources like Azure SQL server, On-prem SQL, Oracle, etc. We can run models and various analytics services. The burden of maintaining servers and storage is not there as it is supported by Azure and is offered as a Platform as a service.
Pros
- Use advanced mashup and modeling features to combine data from multiple data sources, define metrics, and secure your data in a single, trusted tabular semantic data model.
- I have used AAS in establishing the Tabular Semantic model for one of my client's assignments.
Cons
- There is very least content available on Microsoft docs and the Internet to get through with AAS.
- i faced lots of connection issues while implementation.
- The need for serious platform experience or expertise.
Return on Investment
- Website analytics; We have realized so many benefits like traffic analysis, CRM, click-through funnels, and many more.
- Aas allows us to do complex calculations and aggregations at slight efforts. It accommodates DAX expression, which in return is simple to apply.
Alternatives Considered
Amazon Web Services
Other Software Used
Google AdSense, Google Cloud AI, Amazon Connect

