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Možnosti analytických nástrojů v prostředí MS SQL Serveru
 Mazáčová, Markéta
The thesis compares the development time and performance of two types of Microsoft analytical models created in Visual Studio that are deployed on the local analytics servers and the Azure cloud server. Theoretical research will be summarizing business intelligence and data warehouses components, Microsoft tools for business intelligence realization and features using in-memory database technologies. The practical part introduces the AdventureWorks demonstration database,describes the implementation of both analytical models and compares both models with respect to the time-consuming development, performance and suitability of deployment.
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