Please refer to the Documentation page for information on how to install the sample databases. The tables having the prefix Dim are suited to be used as Dimension tables, and tables having prefix Fact are suited to be used as Fact tables. Click the Downloads tab to download a copy of the latest release. You should find something similar to the below screenshot.Įxpand the database higlighted above and check out the different Dim and Fact tables in this database. After the database in installed, open SQL Server Management Studio to verify the databases that were installed. The Adventure Works LT database is a highly simplified and smaller sample database which is helpful for those who are new to relational database technology. Here, you can see the SQL script in the new query window. The Adventure Works AS project can be used to build an AS database for business intelligence scenarios. Click the Open button to open it in the new query window of SQL Server Management Studio. Point the installer to the SQL Server instance that you are using, and install the database. This is an extended version of AdventureWorks, designed to showcase SQL Server 2016 features. Click the File tab, then click Open, now choose the File option to select the above SQL file to run on SQL Server. This tutorial expects that the reader is using SQL Server 2008 R2, and all the exercises will be using this version of SQL Server.Īfter downloading, start the installer and you should get a screen similar to the one below.ĪdventureWorks Data Warehouse 2008R2 is the database we need for our exercises. To install the AdventureWorks database, navigate to the codeplex ( ) site and download the MSI for the version of SQL Server you are using. Developing a data mart is out of the scope of this tutorial, so we will use this sample database. We can use this database as a launchpad to start our SSAS project. It is suitable for developing applications that need to store and manage transactional data. It includes tables for customers, orders, products, and other relational data. This database contains dimension and fact tables with prepopulated data. A A A Person.Person Human beings involved with AdventureWorks: employees, customer contacts, and vendor contacts. Adventure Works OLTP (Online Transaction Processing): This version of the database simulates common transactional operations found in relational databases. We need to use the AdventureWorks DW 2008 R2 database for our cube design and development. AdventureWorks is the sample database available from Microsoft for different purposes as well as different SQL Server versions.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |