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Published bySamuel Wilson Modified over 9 years ago
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Online analytical processing (OLAP) is a category of software technology that enables analysts, managers, and executives to gain insight into data through fast, consistent, interactive access to a wide variety of possible views of information that has been transformed from raw data to reflect the real dimensionality of the enterprise as understood by the user.
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Kinds of OLAP ROLAP- relational OLAP using relational databases; a star schema is used MOLAP- multidimensional OLAP using multidimensional databases DOLAP- desktop OLAP Other variations
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Example: Olap Usage of an Automobile Marketer The Story An automobile marketer wants to improve business activity. Therefore he wants to view sales figures from different perspectives. A Question What is the trend in sales volumes over a period of time for a specific model and color across a specific group of dealerships ? The Data Needs Sales by model Sales by dealership Sales by color Sales over time etc.
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Example: The Multidimensional View of the Data Sales Volumes BlueRedWhite Van Coupe Sedan Miller Clyde Smith COLOR DEALERSHIP MODELMODEL
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OLAP Features: “Slicing and Dicing“ the Data Sales Volumes BlueRedWhite Van Coupe Sedan Miller Clyde Smith COLOR DEALERSHIP MODELMODEL Color: Blue and White Model: Coupe only Dealership: Clyde only Clyde BlueWhite Coupe “Sliced and Diced“ Data Choosing a range out of each dimension:
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OLAP Features: Rotating the Data Sales Volumes BlueRedWhite Van Coupe Sedan COLOR MODELMODEL View of the Account Manager Rotate the data cube by 90° DEALERSHIP Sales Volumes MillerSmithClyde Van Coupe Sedan MODELMODEL View of the Product Manager Different users will require different views of the multidimensional cube – OLAP allows easy rotation of data
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OLAP Features: Drill-Down and Roll-Up Data can be disaggregated and aggregated along a dimension according to their natural hierarchy Drill-Down Roll-Up State Region Dealership MillerSmithClydeLucas Gleason AtlantaAthens Georgia Sales Volumes by Organization Dimension - three level hierarchy -
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