Select the data connection, just created, and press next: For Server name, select the SQL Server with the AdventureworksDW database: In the Provider, select a Native OLEDB\SQL Server Native Client 11.0. Select the option to create a new Data Source based on existing or new connection and press the new button: You will receive a Welcome wizard, press next: In the Solution Explorer, right-click Data Sources and select New Data Source: In order to start get started in SQL Server Data Tools aka SSDT, open a new project and select Analysis Services Multidimensional and Data Mining models: The Currency dimension, will help us to detect amounts in different currencies around the world and Sales territory will help to detect sales, discounts, etc. We will create reports about the fact information combined with 2 dimensions: We will create a cube based on the fact table FactResellerSales:įactResellerSales shows information about resellers’ sales like discount amounts, tax amounts, freight, sales amount and other related information. However, in the real-life, you will need to create some ETLs to automatically extract your business information to the Data Warehouse. In this article, we will use the AdventureworksDW sample ready to be used. You can use SSIS to extract the information from sources to the data warehouse or use other ETL (Extract Transformation and load) tools like Talend Open Studio, SpagoBI Business Intelligence, Jaspersoft ETL and several other external tools. If you want to have an SSAS cube, creating the data warehouse is a process that takes a bit of time and resources. The data warehouse is a special database designed to store enterprise information from different sources like Excel, ERPs, CRMs, flat files, legacy data and more.
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