This example creates a rule that performs the same function as the CHECK constraint example in the preceding topic. The CHECK constraint is the preferred method to use in Microsoft® SQL Server™ 2000.

CREATE RULE id_chk AS @id BETWEEN 0 and 10000
GO
CREATE TABLE cust_sample
(
cust_id int
PRIMARY KEY,
cust_name char(50),
cust_address char(50),
cust_credit_limit money,
)
GO
sp_bindrule id_chk, ‘cust_sample.cust_id’
GO

Sourec: Sql Server 2000 books online

Company’s Business rule of receiving full payments on export invoices was changed in partial payments, consequently it became critical to record the related exchange rates, commission charges and bank charges on partial payments. In coordination with management, SQL Server database functionality was extended by creating additional table to store partial export receipts and related data along with foreign key from the respective invoices from Invoices table.

After the above modification an additional data was available facilitates which crystal reports for higher management showing payments received against each export invoice along with detail of related exchange rates, the bank charges, commissions and discount and sum of net amount received and related information like average exchange rates and summary of all expenses. Please also read

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Dimension keys uniquely identify each record in a dimension table. The purpose of dimension keys is to relate one dimension table record to a fact table record. Thus, the dimension key must be stored in both the dimension table and the fact table.

Translating this to Data architecture helps defining the role of the data architect as the one responsible for developing and maintaining a formal description of the data and data structures – this can include data definitions, data models, data flow diagrams, etc. (in short metadata). Data architecture includes topics such as metadata management, business semantics, data modeling and metadata workflow management.

Source: WikiPedia

2-     Operational data bases are highly normalized in relational database format to facilitate data update. Business intelligence databases are highly demoralized for fast retrieval and analyses of large amount of data.

3-     In operational databases most of the data is raw and stored without any calculations, calculations are usually done when required through queries. In business intelligence large amount of data is pre-calculated or derived to save time when running queries.

The above are few general difference between Business intelligence and operational databases, we are keep researching and will update more.

Health Care Claims Data Mart: Construction and Exploitation Marge Scerbo, CHPDM, University of Maryland Baltimore County Stuart B. Levine, SAS Institute Inc.

This paper will cover the development of a Data Mart to meeting the information and business intelligence needs. This includes the steps taken in the design of the Mart, its base tables and MDDBs (MultiDimensional DataBase), the definition of SAS/EIS objects that can exploit MDDBs, and other specific customizations that were developed to allow one organization, the UMBC Center for Health Program Development and Management (CHPDM), to address data access issues.

To read all please go to the website

Ralph Kimball’s paradigm: Data warehouse is the conglomerate of all data marts within the enterprise. Information is always stored in the dimensional model.
There is no right or wrong between these two ideas, as they represent different data warehousing philosophies.

Calculated Measures named as semi-additive; It has the same function as regular measure, the only difference is these derived by existing measures such as prices*quantity = amount.

Additive measures - measures that use sum function for their aggregation are additive measures.
Non Additive measures - Sometimes we use a maximum or minimum function or in other words we do not use sum function.
Periodic measurements, such as account balances

Source 1- Databases Journal December 13, 2004 Introduction to MSSQL Server 2000 Analysis Services: Semi-Additive Measures and Periodic Balances

Source 2- delivering Business intelligence with SQl Server 2008