customers are most likely to purchase a bike. You then drill through to the underlying cases to obtain contact information.

Requirements

Make sure that the following are installed:

•Microsoft SQL Server 2012

•Microsoft SQL Server Analysis Services in multidimensional mode

To enhance security, the sample databases are not installed with SQL Server. To install the official databases for Microsoft SQL Server, visit the Microsoft SQL Sample Databases page and select SQL Server 2012.

Note

When you are working through a tutorial, you might find it easier to move back and forth between the steps if you add the Next topic and Previous topic buttons to the document viewer toolbar. For more information, see Adding Next and Previous Buttons to Help.

See Also

Working with Data Mining

Mining Models Tab: How-to Topics

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

Lesson 1: Preparing the Analysis Services Database (Basic Data Mining Tutorial)

You are a new employee of Adventure Works Cycles who has been tasked with designing a business intelligence application in SQL Server 2012. Adventure Works Cycles hopes to leverage your Analysis Services data mining experience to discover interesting and actionable information about people who have purchased bicycles. They then want you to predict which prospective customers are most likely to purchase a bicycle in the future.

Designing this application in SQL Server starts with the creation in SQL Server Data Tools (SSDT) of a SQL Server Analysis Services project based on the Analysis Services project template for multidimensional modeling and data mining. After you create an Analysis Services project, you define one or more data sources. Then, you define a view of the metadata, called a data source view, from selected tables and views from the data sources.

8

In this lesson, you will create an Analysis Services project, define a single data source, and add a subset of tables to a data source view. This lesson includes the following tasks:

Creating an Analysis Services Project (Basic Data Mining Tutorial) Creating a Data Source (Basic Data Mining Tutorial)

Creating a Data Source View (Basic Data Mining Tutorial)

First Task in Lesson

Creating an Analysis Services Project (Basic Data Mining Tutorial)

Next Lesson

Lesson 2: Building a Targeted Mailing Scenario (Basic Data Mining)

See Also

Designing Data Source Views (Analysis Services) Defining Data Sources (Analysis Services) Building Analysis Services Projects

Creating an Analysis Services Project

Creating an Analysis Services Project (Basic Data Mining Tutorial)

Each Microsoft SQL Server Analysis Services project defines the schema for the objects in a single Analysis Services database. An Analysis Services database contains mining structures and mining models, multidimensional models (cubes), and supporting objects such as data sources and data source views. In this tutorial you will be using the database as a data source. You will deploy the data mining objects to an Analysis Services database named BasicDataMining.

By default, Analysis Services uses the localhost instance for new projects. If you are using a named instance or a different server, you must first create and open the project and then change the instance name.

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

Procedures

To create an Analysis Services project

1.Open SQL Server Data Tools (SSDT).

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

3.Verify that Business Intelligence Projects is selected in the Project types pane.

4.In the Templates pane, select Analysis Services Multidimensional and Data Mining Project.

5.In the Name box, name the new project BasicDataMining.

9

6.Click .

To change the instance where data mining objects are stored

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

2.On the left side of the Property Pages pane, under Configuration Properties, click Deployment.

3.On the right side of the Property Pages pane, under Target, verify that the Server name is localhost. If you are using a different instance, type the name of the instance. Click .

Next Task in Lesson

Creating a Data Source (Data Mining Tutorial)

See Also

Building Analysis Services Projects

Defining an Analysis Services Project

How to: Build and Deploy an Analysis Services Project

Creating a Data Source (Basic Data Mining Tutorial)

A data source is a data connection that is saved and managed in your project and deployed to your Microsoft SQL Server Analysis Services database. The data source contains the names of the server and database where your source data resides, in addition to any other required connection properties.

see the Microsoft SQL Sample Databases page.

Procedures

To create a data source

1.In Solution Explorer, right-click the Data Sources folder and select New Data Source.

2.On the Welcome to the Data Source Wizard page, click Next.

3.On the Select how to define the connection page, click New to add a

4.In the Provider list in Connection Manager, select Native OLE DB\SQL Server Native Client 11.0.

5.In the Server name box, type or select the name of the server on which you

installed .

For example, type localhost if the database is hosted on the local server.

10

6.In the Log onto the server group, select Use Windows Authentication.

Important

Whenever possible, implementers should use Windows Authentication, as it provides a more secure authentication method than SQL Server Authentication. However, SQL Server Authentication is provided for backward compatibility. For more information about authentication methods, see Database Engine Configuration - Account Provisioning.

8.Click Next.

9.On the Impersonation Information page, click Use the service account, and then click Next.

On the Completing the Wizard page, notice that, by default, the data source is named Adventure Works DW 2012.

10.Click Finish.

The new data source, Adventure Works DW 2012, appears in the Data Sources folder in Solution Explorer.

Next Task in Lesson

Creating a Data Source View (Data Mining Tutorial)

Previous Task in Lesson

Creating an Analysis Services Project (Basic Data Mining Tutorial)

See Also

Defining a Data Source Using the Data Source Wizard (Analysis Services) Creating Data Sources How-to Topics

Defining a Data Source

Impersonation Information Dialog Box (Analysis Services - Multidimensional Data)

Creating a Data Source View (Basic Data Mining Tutorial)

A data source view is built on a data source and defines a subset of the data, which you can then use in your mining structures. You can also use the data source view to add columns, create calculated columns and aggregates, and add named views. By using data source views, you can select the data that relates to your project, establish relationships between tables, and modify the structure of the data, without modifying the original data source. For more information, see Designing Data Source Views (Analysis Services).

Procedures

To create a data source view

11