See Also

Basic Data Mining Tutorial

Bike Buyer DMX Tutorial

Market Basket DMX Tutorial

Lesson 1: Creating the Intermediate Data Mining Solution (Intermediate Data Mining Tutorial)

In the Basic Data Mining tutorial, you created an Analysis Services project that contains a simple data mining solution based on the new database.

For this tutorial, you will create a separate Analysis Services project by using SQL Server Data Tools (SSDT). You will create a Analysis Services data source that uses , and add several new data source views to that data source, to support the scenarios and model types.

This lesson consists of the following task:

•Creating a Solution and Data Source

Next Step

Lesson 2: Building a Forecasting Scenario (Intermediate Data Mining Tutorial)

All Lessons

Lesson 1: Creating the Intermediate Data Mining Solution

Lesson 2: Forecasting Scenario (Intermediate Data Mining Tutorial) Lesson 3: Market Basket Scenario (Intermediate Data Mining Tutorial)

Lesson 4: Sequence Clustering Scenario (Intermediate Data Mining Tutorial)

Lesson 5: Neural Network and Logistic Regression Scenario (Intermediate Data Mining Tutorial)

See Also

Data Mining Tutorial

Creating and Querying Data Mining Models with DMX: Tutorials (Analysis Services - Data Mining)

Creating a Solution and Data Source (Intermediate Data Mining Tutorial)

To work with data mining, you must first create a project in SQL Server Data Tools (SSDT) using the template, Analysis Services Multidimensional and Data Mining Project. When you open the template, it loads into the designer all the schemas that you might

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need for data mining: data sources, mining structures and mining models, and even cubes if your mining structure uses multidimensional data.

When you create the project, your solution is stored as a local file until the solution is deployed. When you deploy the solution, Analysis Services looks for the Analysis Services server specified in the project properties, and creates a new Analysis Services database with the same name as the project. By default, Analysis Services uses the localhost instance for new projects. If you are using a named instance, or if you specified a different name for the default instance, you must change the deployment database property of the project to the location where you want to create your data mining objects.

For more information about Analysis Services projects, see Defining an Analysis Services Project.

Procedures

To create a new Analysis Services project for this tutorial

1.Open SQL Server Data Tools (SSDT).

2.On the File menu, point to New, and then click Project.

3.Select Analysis Services Multidimensional and Data Mining Project from the Installed Templates pane.

4.In the Name box, name the new project DM Intermediate.

5.Click .

To change the instance where data mining objects are stored (optional)

1.In SQL Server Data Tools (SSDT), on the Project menu, click Properties.

2.In the left side of the Property Pages pane, click Deployment.

3.Verify that the Server name is localhost. If you are using a different instance, type the name of the instance. If you are using a named instance of Analysis

To change the deployment properties for a project (optional)

1.In Solution Explorer, right-click the project, and then select Properties. -- or --

In SQL Server Data Tools (SSDT), on the Project menu, select Properties.

2.In the left side of the Property Pages pane, click Deployment.

In the Options pane, select Deployment Mode, and set the options to Deploy All to overwrite, or to Deploy Changes Only to update objects or add objects.

Creating a Data Source

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In the Basic Data Mining Tutorial, you created a data source that stores connection information for the database. Follow the same steps to create the data source in this solution.

To create a data source

•Creating a Data Source (Basic Data Mining Tutorial)

A single data source can support multiple data source views, and each data source view can have multiple tables. However, because the data source and data source view are deployed to your Microsoft SQL Server Analysis Services database together with the data mining models that you create, as a best practice you should include in each data source view only those tables that are required for each data mining model or group of models.

In the following lessons, you will add data source views to support each of the new scenarios. Only the market basket and sequence clustering lessons use the same data source view; otherwise, each scenario uses a different data source view, so the lessons are independent of each other and can be completed separately.

Next Lesson

Lesson 2: Building a Forecasting Scenario (Intermediate Data Mining Tutorial)

See Also

Defining Data Sources (Analysis Services)

Designing Data Source Views (Analysis Services)

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