Exforsys.com
 
Home Tutorials Data Warehousing
 

How To Create a Data Warehouse Structure

 

How To Create a Data Warehouse Structure

A data warehouse structure can be defined as the elements and components which make up the database. The structure will show how these components work together, and it may also show you how the database will grow over a given period of time.



While every data warehouse will have a structure, some are highly organized, while others or not. As you can imagine, it is the data warehouses with the best structures that are the most likely to succeed.

When your data warehouse does not have an organized structure, it will not be as flexible as it should be. If it doesn't have a structure, there will be no connections, and the database will be difficult to maintain. If you want your company to compete successfully in your industry, you will need to design a data warehouse structure that is highly organized and efficient. As an example, how well do you think a house would be built of the architects failed to use blue prints, maps, or specifications? Would you want to buy such a house? It is likely that you would not want to purchase such a home. Not only would it be uncomfortable, but it could also be dangerous.

The same principle can be applied to designing a data warehouse. You will need to use a "blue print" to make sure it is designed correctly. All of the components should be designed, and you should know how the system will grow as it is used. Because the design of a data warehouses is a new concept, there are no standards that have been developed. In fact, the terminology which is related data warehouses is still being developed. It is these things which currently make data warehouses challenging to build. However, it is crucial that you build them with the right structure. You cannot afford to build a database that has a structure which is disorganized.

The first important thing to realize is that the structure of your data warehouse should be directly connected to your business. For example, if you need to design a data warehouse that will update each night, this will need to be built into the structure. To build this function into the structure, you will need to have a technical understanding of the system. Some of the things that you may want to build within your data warehouse structure are global availability, customer analysis, data sources, dependability, and daily updates. It is also important to look at the components that will make up the structure.

The two primary components that will make up your data warehouse structure are technical elements and data elements. You will also want to look at business operations, hardware, networking, and operating systems. When it comes to the data, you may need to create a structure that provides information that is related to shipping or billing. The data that exists within the data warehouse must have the same structure. They should also be maintained in the same way. A common issue that is raised among organizations is the decision of whether they show data as dimensional or entity/relationship.

The one you choose is dependent on how your organization operates. Once you have made your decision, you will next want to look at infrastructure architecture. The most important factors that are connected to infrastructure architecture are flexibility, size, and scalability. If you do your research, you shouldn't have a hard time building this. When it comes to the network, you will want to pay attention to the data sources. There should be a sufficient amount of bandwidth available to transfer information. The desktop computers that you use should be powerful enough to run the necessary software programs. In addition to this, the software you use should be easy to transfer between the machines.




An emphasis should also be placed on the technical architecture. It should use a process which is based off a meta data catalog. The data warehouse should be able to pull data from numerous sources, and this data may need to be encrypted or compressed. You will also want to make sure the data is transformed properly, It should be cleaned, integrated, and audited. It is also important to make sure the loading is conducted on numerous targets.



Read Next: How To Protect Your Data Warehouse



 

 

Comments



Post Your Comment:

Members Please Login
Your Name:*
e-mail ID:(required for notification)*
Image Verification: 
 
 Subscribe    

Sponsored Links

 

Subscribe via RSS


Get Daily Updates via Subscribe to Exforsys Free Training via email


Get Latest Free Training Updates delivered directly to your Inbox...

Enter your email address:


 

Subscribe to Exforsys Free Training via RSS
 

 
Partners -  Privacy and Legal Policy -  Site News -  Contact   Sitemap  

Copyright © 2000 - 2010 exforsys.com. All Rights Reserved

Page copy protected against web site content infringement by Copyscape