Finaldata Enterprise 3.0 Serial Number

Finaldata Enterprise 3.0 Serial Number

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In the normalized approach, there is an additional step of converting the data stored in the data warehouse to a normalized structure. This is because a normalized structure is appropriate for data warehouses with a large number of small tables because it: 1) facilitates access, 2) helps create business intelligence applications, and 3) simplifies backup and recovery (Kimball, Ralph 2008; Kimball, Ralph et al. 2006). The normalized structure divides data into entities, which creates several tables in a relational database. When applied in large enterprises the result is dozens of tables that are linked together by a web of joins. Furthermore, each of the created entities is converted into separate physical tables when the database is implemented (Kimball, Ralph 2008). The main advantage of this approach is that it is straightforward to add information into the database. Some disadvantages of this approach are that, because of the number of tables involved, it can be difficult for users to join data from different sources into meaningful information and to access the information without a precise understanding of the sources of data and of the data structure of the data warehouse.

The unstructured approach is based on the idea that most of the information to be stored in a data warehouse is not organized into “entities” and can be stored in a single database table. This approach eliminates the need to create separate data entities and to manage the data in the data warehouse as separate entities, and reduces the number of tables in the data warehouse by about half, reducing the complexity in the implementation of the data warehouse. The main advantage of this approach is that it is straightforward to add information into the database, and users can access the data without a precise understanding of the sources of data and of the data structure of the data warehouse.

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