Saturday January 20th 2018




‘Data Model’ Archives

Rules and Check constraint

Rules and Check constraint

Rules are a backward-compatibility feature that perform some of the same functions as CHECK constraints. CHECK constraints are the preferred, standard way to restrict the values in a column. CHECK constraints are also more concise than rules; there can only be one rule applied to a column, but multiple CHECK constraints can be applied. CHECK [...]

Change in business rule and its impact on Data model.

Change in business rule and its impact on Data model.

This post explains the extension in data model resulting from change in business rule. A Prime Group is a steel rolling mills and Export Company having its offices in Dubai and Pakistan. This project was to create /upgrade database and creating Crystal Reports to facilitate changes in business rules and expansion in manufacturing [...]

Complimentary hands on course in Toronto by Microstrategy

Get More from Your Data to Make the Most Informed Business Decisions Experience the latest breakthrough in BI, MicroStrategy 9, firsthand through demonstrations and hands-on activities. Don’t miss this chance to be the first in your organization to learn how to: * Create an entire BI application in less than a day * Design dynamic [...]

Kimball University: The 10 Essential Rules of Dimensional Modeling

Follow the rules to ensure granular data flexibility and a future-proofed information resource. Break the rules and you’ will confuse users and run into data warehousing brick walls. The post is about an article by Margy Ross. She highlights essential rules for dimensional Modelling.

What is Dimension Key

A quick review about Dimension key. 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.

Data Architect – Overview

Data Architect – Overview

Many times in the job descrition a title Data Architect is used. According to DAMA (Data Management Association) , Data Architect is often interchangeable with, but includes enterprise architecture considerations. A DAMA recognized Certified Data Management Professional would have a wide range of such skills. Translating this to Data [...]

Difference between operational databases and Business Intelligence

Difference between operational databases and Business Intelligence

          1-     Operational databases are design to remove redundancy, accurate updates and removal of repetitive   operations for example deposits, flight reservation. Business intelligence has the goal of business reporting and data analyses.   2-     Operational data bases are highly normalized in relational database [...]

Health Care Claims Data Mart, University of Maryland Baltimore County Stuart B. Levine, SAS Institute Inc is continuously researching and finding on as many example related to data mart, data warehousing and business intelligence topic as possible. Following is another related post, links to main site are also provided at the end; Health Care Claims Data Mart: Construction and Exploitation Marge Scerbo, CHPDM, University of Maryland [...]

Bill Inmon vs. Ralph Kimball

Bill Inmon's paradigm: Data warehouse is one part of the overall business intelligence system. An enterprise has one data warehouse, and data marts source their information from the data warehouse. In the data warehouse, information is stored in 3rd normal form. Ralph Kimball's paradigm: Data warehouse is the conglomerate of all data marts [...]

Different Measures

Sometime we heard type of measures in data mart, we researched on that to make it simple and found the following words attached with a word measure, measures are also called facts; 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 [...]

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