MS SQL SERVER: Olap cubes and data mining

1. OLAP Cubes And Data Mining

2. overview Introduction to OLAP Processing the Cube Querying a Cube Browsing a Cube OLAP and Data Mining Using the Data Mining Designer The Data Mining Wizard

3. What is OLAP? OLAP is used for decision-support systems to analyze aggregated information for sales, finance, budget, and many other types of applications. Online Transaction Processing (OLTP) is mainly used to record transactions of daily operations, such as updating an account balance for a bank transaction. An OLAP cube is built for decision-support queries. A cube is a multidimensional database. A typical cube contains a set of well-defined dimensions, such as Customer, Product, Store, and Time.

7. Office Web Components (OWC)

8. ProClarity

9. Third-party OLAP client tools (such as Panorama). Users can easily slice and dice the cube to generate reports with these tools.

10. Browsing the SalesCube

12. Machine learning

13. Database technology.Most data mining algorithms use more or less statistical techniques, such as Naive Bayes and clustering.

15. Create new models based on an existing mining structure.

16. Train and browse mining models.

17. Compare models by using accuracy charts.

19. The Data Mining Wizard The content of a mining structure is derived from an existing data source view or cube.

20. Summary Introduction to OLAP Processing the Cube Querying a Cube Browsing a Cube OLAP and Data Mining Using the Data Mining Designer The Data Mining Wizard

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