Benefits of Azure Analysis Services

If you are using Azure, we hope you are already using Azure Analysis Services. The benefits are many here: Scale resources to meet your business needs, easily visualize data using your favorite data visualization tools (such as Power BI), and manage, deploy, test and provide BI solutions with confidence.

One of the best features of Azure Analysis Services is that you can get started quickly with Azure Resource Manager, create and deploy an Azure Analysis Services instance in seconds and use existing backups to restore existing models in Azure That you can access quickly to the analysis service.

Azure Analysis Services integrates with many Azure services to create sophisticated analysis solutions. Integration with Azure Active Directory provides secure, role-based access to critical data. To understand the benefits of using Azure Analysis Services, you must first understand Analysis Services and the semantic layer in general. Data access and usage is required everywhere, and as the amount of data in the organization increases, IT and Data Analyst resources are constantly loaded, providing critical data to end users for decision-making. power.


When using Analysis Services as PaaS

Once the need for a BI semantic layer is accepted, the decision to take advantage of Azure Analysis Services becomes easier. You can now provide a complete BI solution from the data warehouse, semantic layer and visualization without having to manage a single virtual machine.

  • You just have to pay for the level of service you need, and you can upgrade and take a break based on your specific needs.
  • Eliminate the need to focus on maintaining virtual machines to host the solution, dedicating precious resources to data accuracy and availability.

Microsoft Azure Analysis Services


  • CleanerCurrentPrice
  • CleanerMemoryNonShrinkable
  • CleanerMemoryShrinkable
  • CommandPoolBusyThreads
  • CommandPoolIdleThreads
  • CommandPoolJobQueueLength
  • CurrentConnections
  • CurrentUserSessions
  • LongParsingBusyThreads
  • LongParsingJobQueueLength
  • MashupEngineMemory
  • MashupEngineQPU
  • Memory
  • MemoryLimitHigh
  • MemoryLimitLow
  • MemoryLimitHard
  • MemoryLimitVertiPaq
  • MemoryThrashing
  • MemoryUsage
  • MemoryUtilization
  • ProcessingPoolBusyIOJobThreads
  • ProcessingPoolBusyNonIOThreads
  • ProcessingPoolIdleIOJobThreads
  • ProcessingPoolIdleNonIOThreads
  • ProcessingPoolIOJobQueueLength
  • ProcessingPoolJobQueueLength
  • QPU
  • QueryPoolBusyThreads
  • QueryPoolIdleThreads
  • QueryPoolJobQueueLength
  • Quota
  • QuotaBlocked
  • RowsConvertedPerSec
  • RowsReadPerSec
  • RowsWrittenPerSec
  • ShortParsingBusyThreads
  • ShortParsingIdleThreads
  • ShortParsingJobQueueLength
  • Status
  • SuccessfullConnectionsPerSec
  • TotalConnectionFailures
  • TotalConnectionRequests
  • VertiPaqNonPaged
  • VertiPaqPaged



The AZURE ANALYSIS service helps you manage your data What is the quality of a large amount of data if the results cannot be analyzed quickly in a timely manner? Microsoft’s Azure Cloud solution makes it easy for organizations of all sizes through Azure Analysis Services. Azure Analysis Services provides enterprise data modeling in the cloud. A fully managed as a service (PaaS) platform integrated with Azure Data Platform services. With Analysis Services, you can mix and combine data from multiple data sources, define metrics, and protect your data with a unique and reliable semantic data model. Data models are client applications such as Power BI, Excel, Reporting Services, third-party and custom applications that allow users to easily and quickly browse large amounts of data.

Azure Analysis Services is compatible with many features already present in SQL Server Analysis Services Enterprise Edition. Azure Analysis Services supports tabular models with compatibility levels 1200 and 1400. Partitions, row-level security, two-way relationships, and transformations are all supported. In-memory and Direct Query modes mean very fast queries on large and complex data sets. Azure Analysis Services integrates with many Azure services to create sophisticated analysis solutions. Integration with Azure Active Directory provides secure, role-based access to critical data. Integrate the Azure Data Factory pipeline by including activities that load data into the model. Azure Automation and Azure Functions can be used for light orchestration of models using custom code.