Data Modeling

Technical Article

Naturally Increasing Data Value with Hierarchical Structures

  • Article

Hierarchical structures have an inherent ability for significant data value increases beyond the data collected. This will be shown to exist in hierarchical structures and even more powerfully in their natural hierarchical processing capabilities. These will demonstrate flexible and efficient ways to increase data value automatically and will be discussed in this article. SQL will be used to perform a wide range of hierarchical processing operations that easily demonstrate these increasing data value capabilities.

2011-03-23

3,291 reads

Technical Article

Extending Hierarchical Data Modeling Demonstrated in SQL

  • Article

The capability of extending the limits of combining multiple node hierarchical structures has not been fully explored. Michael M. David presents a solution to advanced structure combining that is simple to use, generic and freely extends the way hierarchical structures can be semantically combined to produce advanced new hierarchical data structure mashups that dynamically increase the value of the data.

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2010-07-16

3,196 reads

Technical Article

Dimensional Model Components: Dimensions Part II

  • Article

Business Intelligence Architect Bill Pearson continues his subseries surrounding components of the Analysis Services dimensional model. In the second half of this article, we extend our focus on dimensions to include property settings for Cube Dimensions.

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2008-03-06

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Question of the Day

Adding Bits I

I have a table, dbo.bittest, where I am testing an application response. This has this structure:

CREATE TABLE [dbo].[BitTest]
(
[insertdate] [datetime] NULL CONSTRAINT [DF__BitTest__insertd__300F11AC] DEFAULT (getdate()),
[a] [bit] NULL
) ON [PRIMARY]
GO
My application runs this code:
INSERT dbo.BitTest
(
    insertdate,
    a
)
VALUES
(DEFAULT, 'true')
GO

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