| A data warehouse gives its users a common data | | | | Properly define definitions and tables. |
| model for all the data of interest without | | | | Find the duration of the database and the |
| bothering about the source of the data. This | | | | periodicity of up gradation. |
| makes it easier for users to report and analyze | | | | Slowly track the changes in dimension. |
| the information for sales invoices, general ledger | | | | Decide the query priorities and their modes. |
| charges and other tasks. A data warehouse can | | | | The last step is to implement a simple data |
| also work in conjunction, which enhances the | | | | warehouse or a data mart. Always remember |
| value of operational business applications and | | | | that your approach should be from simpler to |
| customer relationship management systems. | | | | complex. Initially only a few data marts are |
| Designing and implementing a data warehouse in | | | | identified, designed and implemented that will |
| not an easy thing as lot of focus and importance | | | | gradually lead to the designing of a complete data |
| is attached to it. If you are the designer of the | | | | warehouse. |
| data warehouse, you could be asked to take all | | | | Technology Considerations |
| the enterprise data and make a data warehouse | | | | There are a few technological issues that one |
| where the management would get all the answers | | | | should consider while designing and implementing a |
| to their queries. This is something tough but | | | | data warehouse: |
| equally exciting and visible. | | | | Hardware platforms for data warehouse. |
| The two main parts of designing a data | | | | System management and operating system |
| warehouse is how to start it and where to start. | | | | platforms. |
| The toughest part is to bring down the scope of | | | | DBMS for supporting data warehouse. |
| the vast project to something smaller, | | | | Software tools for building, operating and |
| manageable yet scalable. In recent time, the trend | | | | using the warehouse. |
| of building data marts before making the real data | | | | Communication and network infrastructure. |
| warehouse is popular amongst developers. We | | | | Financial consideration should also be given |
| always prefer to have something smaller to | | | | because the implementation of a data |
| manage things before proceeding to the real | | | | warehousing system is very time consuming and |
| warehouse. | | | | expensive. It requires heavy involvement from a |
| Here are the nine methods you can follow for | | | | lot of resources in your company and will require |
| designing a flawless data warehouse: | | | | manipulation of data in order to get the correct |
| Choose the subject matter on which the | | | | formatting required to be effective. Many people |
| data warehouse has to be designed. | | | | fail to calculate the full cost of a data warehousing |
| Decide what all would the fact table | | | | implementation which causes the company to far |
| represent. | | | | exceed their budget while the project is only half |
| Identify the dimensions of the design and | | | | complete. In order to effectively estimate costs |
| confirm them. | | | | for the implementation, people must also be |
| Choose the facts. | | | | calculated along with technology and hardware. |
| Do pre-calculations and store them in the fact | | | | Without including employee time, you will grossly |
| table. | | | | underestimate the costs. |