What is Azure Analysis Service?

1. Pre-requisite Knowledge –

Before we start with the understanding of what is Azure Databricks, we should know –

1. Basic knowledge of cloud computing and its services
2. Basic knowledge of Microsoft Azure
3. Basic knowledge of data models and database management services

2. Introduction and features –

• Azure analysis services used to build the analytics solutions in the Microsoft Azure cloud platform.
• This service is built on top of SQL server analysis service and it supports tabular models at the 1200 and higher.
• Azure Analysis Services is fully managed which provides enterprise-grade data models in the cloud.

Image Source – Microsoft Docs

• This service comes under the Platform as a Service (PaaS) category in the Azure cloud.
• By using this service, we can merge the data from multiple data sources, define the metrics and secure the data.
• This service provides a feature to combine the multiple data sources which deliver the single Business intelligence model. The final model will be easy to understand to generate more meaningful data insights.
• This service provides users to perform the analytics on the data in the quickest way and can connect to the real-time operational data.
• By using the Azure Resource Manager, we can quickly create and deploy the Azure analysis services in the cloud.
• We can scale up, scale down and pause the services in the Azure cloud and will pay as we use.
• We can scale-out, client queries are distributed into multiple query replicas in a query pool.
• Azure analysis service provides high security to the data using role-based access security, Azure active directory, row-level security, object-level security, firewall protection, etc.
• Business users can access the data anytime, anywhere as they need.
• Microsoft claims 99.9% availability for this service.
• We can create, deploy and manage this service using multiple tool choices like Visual Studio, SQL Server Management Studio, PowerShell, etc.
• It has integration with the most popular BI visualization tools like Power BI, Excel, Reporting Services, and third-party tools are all supported.
• We can easily monitor this service in the cloud since it is integrated with the Azure metrics too.
• At last, this is an enterprise grade analytics engine as a service in the Microsoft Azure cloud.

3. Azure Analysis Service Pricing – Available in Developer, Basic, and Standard tiers.
4. How to deploy Azure ML

5. Reference Links –

• https://azure.microsoft.com/en-in/services/analysis-services/
• https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-overview
• https://azure.microsoft.com/en-in/product-categories/analytics/

Conclusion - In this article, we have learned the overview of the Azure Analysis Service.