We’re thrilled to announce that Microsoft has once again been named a Leader in the 2024 Gartner? Magic Quadrant? for Integration Platform as a Service. It’s the sixth time in a row that we’ve been recognized.
Data visualization and consumption tools over Azure Analysis Services (Azure AS) sometimes store data caches to enhance report interactivity for users. The Power BI service, for example, caches dashboard tile data and report data for initial load for Live Connect reports.
In a world where self-service and speed of delivery are key priorities in any reporting BI solution, the importance of creating a comprehensive and performant data semantic model layer is sometimes overlooked.
We are pleased to announce Azure Analysis Services now provides integration with cloud data sources residing on Azure Virtual Networks (VNets). Organizations use VNets for enhanced security and isolation.
We are pleased to introduce the REST API for Azure Analysis Services. Using any programming language that supports REST calls, you can now perform asynchronous data-refresh operations.
We are pleased to announce that Azure Analysis Services is integrated with Azure Monitor Resource Diagnostic Logs. Diagnostic logging is a key feature for IT owned BI implementations.
With scale-out, client queries can be distributed among multiple query replicas in a query pool, reducing response times during high query workloads.
By using the new firewall feature, customers can lock down their Azure Analysis Services (Azure AS) servers to accept network traffic only from desired sources.
Azure Analysis Services now supports the shared On-Premises Data Gateway which is used with Power BI, Flow, Logic Apps, and PowerApps. This has been a top ask in our user feedback.
Today we are releasing a preview of the Azure Analysis Services web designer.
Today at the Data Amp event, we are announcing the general availability of Microsoft Azure Analysis Services, the latest addition to our data platform in the cloud.
With Azure Analysis Services, you can connect to your severs by using Power BI, Excel, and many third-party client tools.
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