Azure Analysis Services was launched by Microsoft in 2016. It was developed to extend the capabilities of SQL Server Analysis Services to the cloud, providing a scalable and flexible platform for data modeling and analytics. The service aimed to meet the growing demand for cloud-based business intelligence solutions, allowing enterprises to perform complex data analysis without managing on-premises infrastructure.
Azure Analysis Services
Azure Analysis Services is a fully managed platform as a service (PaaS) that provides enterprise-grade data modeling capabilities in the cloud. It allows users to create and manage data models, enabling complex analytical queries and insights from large datasets. This service supports business intelligence tools by simplifying data analysis, providing scalability, and ensuring high availability for critical business applications.
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About Azure Analysis Services
Strengths of Azure Analysis Services include its scalability, integration with other Microsoft services, and robust data modeling capabilities. Weaknesses may involve dependency on Microsoft's ecosystem and potential complexity in setup for new users. Competitors include Amazon QuickSight, Google BigQuery, and IBM Cognos Analytics.
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How to hire a Azure Analysis Services expert
An Azure Analysis Services expert must have skills in data modeling, proficiency in DAX (Data Analysis Expressions) and MDX (Multidimensional Expressions), experience with SQL Server Analysis Services, and familiarity with Azure cloud services. They should also understand data integration and ETL processes, possess strong analytical skills for designing efficient models, and have experience in using business intelligence tools like Power BI.
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