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1. #Adventureworksdw2012 multidimensional .cub how to#
2. #Adventureworksdw2012 multidimensional .cub windows#

Select Restore and follow steps to restore from the Analysis Services Tutorial.abf file.Select Restore Database and follow steps to restore from the AdventureWorksDW2012.bak fileĬonnect to the SQL Server Analysis Server.Right click on Databases on the left panel.SSMT, and connect to the SQL Server 2016 Database Engine Azure Subscription to create an Azure SQL Data Warehouse instance and Azure Data FactoryĬreate the SSAS cubes sourced from a SQL Server.Visual Studio with SQL Server Data Tool (used Enterprise 2015 version 14.0).(SSMT) SQL Server 2016 Management Studio (used v 13.0 in the example here).

#Adventureworksdw2012 multidimensional .cub windows#

A SQL Server with SSAS 2016 running in a Windows VM.Instead this article provides links to simply restore the SQL and SSAS Databases from backups. You do not need to go through that detailed tutorial to create the cubes. It starts with uploading the AdventureWorks2012 tutorial database to a SQL Server and a cube created from the Multidimensional Modeling Tutorial.

#Adventureworksdw2012 multidimensional .cub how to#

This article provides you detailed information on how to perform this migration. In order to improve the performance of queries to the sourcing database, you can migrate your data from a SQL Server to Azure SQL Data Warehouse, which is a cloud based, linearly scalable database built on Massively Parallel Processing (MPP) architecture. However, as your data grows, query latency takes a hit, slowing down the build, deployment and operation of the cubes in SSAS. OLAP cubes in Multidimensional model provided by the SQL Server Analysis Service (SSAS) generally connect to a SQL Server database as a Data Source.