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MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data mining
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MS SQL SERVER: Olap cubes and data mining

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MS SQL SERVER: Olap cubes and data mining

MS SQL SERVER: Olap cubes and data mining

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  • 1. OLAP Cubes And Data Mining<br />
  • 2. overview<br />Introduction to OLAP<br />Processing the Cube<br />Querying a Cube<br />Browsing a Cube<br />OLAP and Data Mining<br />Using the Data Mining Designer <br />The Data Mining Wizard<br />
  • 3. What is OLAP?<br />OLAP is used for decision-support systems to analyze aggregated information for sales, finance, budget, and many other types of applications.<br />Online Transaction Processing (OLTP) is mainly used to record transactions of daily operations, such as updating an account balance for a bank transaction.<br />An OLAP cube is built for decision-support queries.<br />A cube is a multidimensional database. <br />A typical cube contains a set of well-defined dimensions, such as Customer, Product, Store, and Time.<br />
  • 4. Processing the Cube<br />There are two steps to processing a cube:<br /><ul><li>Dimension processing reads dimension data from underlying dimension tables, builds the dimension structure, creates hierarchies, and assigns members to proper levels of the hierarchy.
  • 5. Cube processing - main task is to precalculate aggregations based on the dimension hierarchies.</li></li></ul><li>Querying a Cube<br />You can query the Cube, after it has been processed, to retrieve the aggregated information.<br />The OLE DB for OLAP specification has defined a query language for querying OLAP cubes. <br />The language is called Multidimensional Expressions (MDX).<br />
  • 6. Browsing a Cube<br />These tools for browsing a Cubeinclude three Microsoft Office family products<br /><ul><li>Excel
  • 7. Office Web Components (OWC)
  • 8. ProClarity
  • 9. Third-party OLAP client tools (such as Panorama). </li></ul>Users can easily slice and dice the cube to generate reports with these tools.<br />
  • 10. Browsing the SalesCube<br />
  • 11. OLAP and Data Mining<br />Both OLAP and data mining are key members of the BI technology family.<br />Most of OLAP techniques come from the database family, data mining techniques come from three academic fields: <br /><ul><li>Statistics
  • 12. Machine learning
  • 13. Database technology.</li></ul>Most data mining algorithms use more or less statistical techniques, such as Naive Bayes and clustering.<br />
  • 14. Using the Data Mining Designer<br />You can access the designer either by selecting an existing mining structure item or by using the Data Mining Wizard to create a new mining structure and mining model.<br />You can use Data Mining Designer to perform the following tasks:<br /><ul><li>Modify the mining structure and the mining model that were initially created by the Data Mining Wizard.
  • 15. Create new models based on an existing mining structure.
  • 16. Train and browse mining models.
  • 17. Compare models by using accuracy charts.
  • 18. Create prediction queries based on mining models.</li></li></ul><li>The Data Mining Wizard<br />The Data Mining Wizard in Microsoft SQL Server Analysis Services starts every time that you add a new mining structure to a data mining project. <br />The wizard helps you define new mining structures, and chooses the data sources that you will use for data mining. <br />The wizard also can partition the data in the mining structure into training and testing sets, and help you add an initial mining model for each structure.<br />You can choose which columns to include in the mining structure. All models that are based on that structure can use those columns. <br />You can enable users of a data mining model to drill down from the results of the mining model to see additional mining structure columns that were not included in the mining model itself.<br />
  • 19. The Data Mining Wizard<br />The content of a mining structure is derived from an existing data source view or cube.<br />
  • 20. Summary<br />Introduction to OLAP<br />Processing the Cube<br />Querying a Cube<br />Browsing a Cube<br />OLAP and Data Mining<br />Using the Data Mining Designer <br /> The Data Mining Wizard<br />
  • 21. Visit more self help tutorials<br />Pick a tutorial of your choice and browse through it at your own pace.<br />The tutorials section is free, self-guiding and will not involve any additional support.<br />Visit us at www.dataminingtools.net<br />

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