MS SQL SERVER: Using the data mining tools

1. Using the Data Mining Tools

2. overview Introduction to BI Dev studio Creating Data Mining Objects Steps to Create and Edit the Models Using the Models Using SQL Server Management Studio

3. BI Development Studio Business Intelligence Development Studio is the primary environment that you will use to develop business solutions that include Analysis Services, Integration Services, and Reporting Services projects. This environment is integrated into the Microsoft Visual Studio (VS) shell to provide a complete development experience for business intelligence operations. Each project type supplies templates for creating the objects required for business intelligence solutions, and provides a variety of designers, tools, and wizards to work with the objects.

4. BI Development Studio

11. Using the data source view The DSV is an abstract client-side view of your data. This is where your modeling begins. The DSV is where you select, organize, explore, and in a sense, manipulate the data in the source. While creating a DSV for data mining purposes, the most important table to identify is your case table. This is the table that contains the cases you want to analyze. You must also bring in any related tables that provide additional information about your cases.

12. Using the data source view The DSV Designer initially displays a diagram of the tables in your data source and the relationships between them. you can use the DSV Designer later to explore the data and alter it to the shape you need for your models.

13. Named Calculations in DSV These are additional virtual columns on the tables in your DSV, which enable you to mine derived information in your data without having to change your source data. A named calculation consists of name, a SQL expression containing the calculation, and an optional description.

15. Mathematical functions (ABS, LOG, SIGN, and SQRT)

17. Exploring Data Part of any data mining project is learning about and understanding the nature of your data. By leveraging controls from Office Web Components (OWC), the DSV Designer provides the functionality to explore your data in four different views. By right-clicking a DSV table and selecting Explore Data, you can view your data as a table, PivotTable, simple charts, and a PivotChart.

18. Exploring data with pivot table

21. The Data Mining Wizard The Data Mining Wizard creates the mining structure that describes the columns and training data you will use for mining, and optionally a mining model, which takes those columns, applies an algorithm, and defines the usage of each column for that algorithm. The steps of the wizard are: 1. Select your algorithm or choose only a structure. 2. Select the source tables and specify how they are used. 3. Select the columns from those tables and specify how they are used. 4. Finally, specify holdout data and name the structure and model.

22. The Data Mining Wizard Specifying the trained data using Data Mining Wizard.

24. The Mining Models pane

25. The Mining Model Viewer pane

26. The Mining Accuracy pane

27. The Mining Model Prediction paneYou must use the Mining structure editor to perform modeling operations that are not possible in the Mining Model Wizard.

28. The Mining Structure Editor

29. Data Mining Reports SQL Server Reporting Services are used to access data mining query results and to distribute those results. SQL Server Management Studio combines a broad group of graphical tools with a number of rich script editors to provide access to SQL Server to developers and administrators of all skill levels. Reporting Services has options to run reports periodically and cache the results to expedite report retrieval, and you can even specify queries to control report distribution.

30. Reporting using data Mining Query Designer

31. SQL Server Management Studio Microsoft SQL Server Management Studio, is an integrated environment for accessing, configuring, managing, administering, and developing all components of SQL Server. SQL Server Management Studio combines a broad group of graphical tools with a number of rich script editors to provide access to SQL Server to developers and administrators of all skill levels.

32. SQL Server Management Studio SQL Server Management Studio combines the features of Enterprise Manager, Query Analyzer, and Analysis Manager, included in previous releases of SQL Server, into a single environment. In addition, SQL Server Management Studio works with all components of SQL Server such as Reporting Services, Integration Services, SQL Server 2005 Compact Edition, and Notification Services. Developers get a familiar experience, and database administrators get a single comprehensive utility that combines easy-to-use graphical tools with rich scripting capabilities.

33. Management Studio UI

35. Create and maintain databases

36. Browse models

37. Build queries using the prediction builder

38. Build queries using the query editor

39. Process models and structures

40. Assign object permissions