What is Data Dimension | |
Data Dimension is mainly used in data warehouse implementations. A data warehouse is implemented to that organizations can profit from data driven operation which constitute a major component in running businesses these days.
To be effective with a data driven operation, data which is the basis for
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Live DataStage Interview Questions | |
Thanks to our site visitor Manoj for sending these DataStage Interview Questions You can find the updated questions here Live DataStage Interview Questions Published by Manoj G on 05 24 2005 Thanks to our site visitor Manoj for sending these DataStage Interview Questions You can find the updated que
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Tutorial 66: MSAS - Applying security to a Dimension | |
When roles are assigned for cubes the user has access or no access to the cube When roles are assigned to a dimension the user gains only partial access to parts of the cube The simplest method of restricting access to a dimension is to prevent access to all levels except the top level of the dimens
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Tutorial 48: MSAS - Introducing Dimension and Cube Processing | |
The Analysis server is like a black box Everything that happens in the server is recorded but the end user sees a multidimensional cube created out of the data in the data warehouse and has very little taste of what really goes on behind the scenes In this section we will be examining this black box
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Tutorial 35: MSAS: Creating a Time Dimension | |
Time dimensions are part and parcel of OLAP cubes At the lowest level of detail a time dimension may contain a month minute or even a second At the most summarized level it may contain a year a decade or a century The repetitive nature of time encourages users to view data in terms of a time dimensi
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Tutorial 33: MSAS: Dimension Storage Modes and Levels | |
Dimensions are stored in the Multidimensional OLAP or Relational OLAP The storage mode determines the location and form of the dimensions data While MOLAP stores data in a multidimensional structure on the Analysis server ROLAP stores the data in the relational tables The storage mode can be set usi
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Tutorial 27: MSAS : Understanding Dimension Basics | |
The next 6 tutorials explains Building Dimensions using Dimensions Editor Dimensional modeling is the conceptualization and visualization of numerical data models as a set of measures that are derived from the common parameters used in a business It summarizes and rearranges data and presents views
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