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MS SQL SERVER: Olap cubes and data mining

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MS SQL SERVER: Olap cubes and data mining

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OLAP Cubes And Data Mining
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
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.
Processing the Cube There are two steps to processing a cube: ,[object Object]
Cube processing - main task is to precalculate aggregations based on the dimension hierarchies.,[object Object]
Browsing a Cube These tools for browsing a Cubeinclude three Microsoft Office family products ,[object Object]
Office Web Components (OWC)
ProClarity
Third-party OLAP client tools (such as Panorama). Users can easily slice and dice the cube to generate reports with these tools.
Browsing the SalesCube
OLAP and Data Mining Both OLAP and data mining are key members of the BI technology family. Most of OLAP techniques come from the database family, data mining techniques come from three academic fields: ,[object Object]
Machine learning
Database technology.Most data mining algorithms use more or less statistical techniques, such as Naive Bayes and clustering.

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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.
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  • 9. Third-party OLAP client tools (such as Panorama). Users can easily slice and dice the cube to generate reports with these tools.
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  • 13. Database technology.Most data mining algorithms use more or less statistical techniques, such as Naive Bayes and clustering.
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  • 15. Create new models based on an existing mining structure.
  • 16. Train and browse mining models.
  • 17. Compare models by using accuracy charts.
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  • 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
  • 21. Visit more self help tutorials Pick a tutorial of your choice and browse through it at your own pace. The tutorials section is free, self-guiding and will not involve any additional support. Visit us at www.dataminingtools.net