microsoft visual studio olap cube tutorial

Microsoft Visual Studio Olap Cube Tutorial Update The Name

But Im having hard time imagining how should I create an OLAP with Key Performance Indicators.

We will first take a glimpse at the basic introduction to requirement of OLAP Cube, and then create OLAP Cube in SQL Server Analysis Service by following 10 easy steps.

If you are totally new to Data Warehouse concepts, please take a quick look at my previous article Create First Data Warehouse which can give you a brief idea on data warehouse concepts which are used in this article.

Most cubes store pre-aggregates of the measures with its special storage structure to provide quick response to queries.

SSRS Reports and Excel Power Pivot is used as front end for Reporting and data analysis with SSAS (SQL Server Analysis Services) OLAP Cube.

BIDS (Business Intelligence Development Studio) provides environment for developing your OLAP Cube and Deploy on SQL Server.

BIDS (Business Intelligence Development Studio) comes with Microsoft SQL Server 2005, 2008 (e.g.

Developer, Enterprise Edition).

We have to choose OLAP Cube when performance is a key factor, the key decision makers of the company can ask for statistics from the data anytime from your huge database.

We can perform various types of analysis on data stored in Cube, it is also possible to create data mining structure on this data which can be helpful in forecasting, prediction.

Query response may be slower if the amount of data is very large, it can impact the reporting performance.

Query Response is quicker, management can do Trend analysis on their data easily and generate quicker reports.

T-SQL language used for query MDX is used for querying on OLAP Cube.

Once Cube gets ready with data, users can run queries on Cube created in SSAS.

SSRS Reports and Excel PivotingPower Pivot can use OLAP Cube as source of data instead of OLTP database to get performance for resolving Complex Queries.

Higher management is facing an issue while decision making due to non availability of integrated data they cant do study on their data as per their requirement.

So they asked us to design a system which can help them quickly in decision making and provide Return on Investment (ROI).

Now we have to Design Create OLAP Cube in SSAS, on which our reports can do a quick query and we can also provide self service BI capability to users later on.

Click on Test Connection and verify for its success Click OK.

Processing Option (Do Not Process) But Got Following Error: Error 10 The project could not be deployed to the HAIER-PCSQLEXPRESS server because of the following connectivity problems: A connection cannot be made to redirector.

Microsoft Visual Studio Olap Cube Tutorial Update The Name

To verify or update the name of the target server, right-click on the project in Solution Explorer, select Project Properties, click on the Deployment tab, and then enter the name of the server.

And Following Warnings: Warning 1 Dimension Dim Product: Create hierarchies in non-parent child dimensions.

Warning 2 Dimension Dim Stores: Create hierarchies in non-parent child dimensions.

Warning 3 Hierarchy Dim Date.DateHierarchy: Attribute relationships do not exist between one or more levels of this hierarchy.

This may result in decreased query performance.

Warning 4 Dimension Dim Date: Avoid visible attribute hierarchies for attributes used as levels in user-defined hierarchies.

Warning 5 Dimension Dim Time: Create hierarchies in non-parent child dimensions.

Warning 6 Dimension Dim Sales Person: Create hierarchies in non-parent child dimensions.

Warning 7 Hierarchy Dim Customer.Hierarchy: Attribute relationships do not exist between one or more levels of this hierarchy.

Warning 9 Database SalesDataAnalysis: The database has no Time dimension.

Could you make a tutorial on data warehouse ETL process though SSIS, populating dim and fact table with SSIS please.

I can imagine creating OLPA with a homogeneous data (like budget, etc).