How To Create a Data Warehouse Structure
A data warehouse structure is comprised of elements and components which make up the database. The structure will show how components work together, and may also show how database will grow over a given period of time.
While every data warehouse has a structure, only few of them are highly organized. It is important to note that a data warehouse with an organized structure is most likely to succeed. A data warehouse without an organized structure will not be as flexible as it should be. In absence of a proper structure, there will be no connections, and the database will become difficult to maintain.
If a company aspires to compete successfully, it is essential to design a data warehouse structure that is highly organized and efficient – a "blue print" to make sure it is designed correctly. All of the components should be defined, and show how the system will grow as it is used. Hence, it is crucial to build a data warehouse with the right structure.
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.
