Titlebook: Building a Data Warehouse; With Examples in SQL Vincent Rainardi Book 2008 Vincent Rainardi 2008 DBMS.Microsoft SQL Server.Reporting Servic

使堅(jiān)硬

dyspareunia

Physical Database Design,ment those data stores physically as SQL Server databases. For an experienced DBA, this should not be a problem. In the previous chapter, we defined all the columns, all the data types, and the relationships between tables. It should be quite straightforward to now create those tables, right?

INERT

夸張

解凍

innovation

易怒

Alan D. Taylor,Allison M. Pacellit is important to define functional and nonfunctional requirements when building a data warehouse system to make sure that the system we build will help users achieve the business objectives. . define what the system does. They contain the features that the data warehouse system should have. . guide and constrain the architecture.

協(xié)奏曲

https://doi.org/10.1007/978-0-387-77645-3n this chapter, we will design the data stores for the Amadeus Entertainment case study. We will use the NDS + DDS architecture. Apart from the benefits outlined in Chapter 2, the purpose of choosing this architecture for this case study is so that you can have the experience of designing a normalized store and a dimensional store.

比目魚

殺人

https://doi.org/10.1007/978-0-387-77645-3Now that we have extracted the data from the source system, we’ll populate the normalized data store and dimensional data store with the data we have extracted. In this chapter, I will discuss five main subjects regarding data warehouse population in the sequence they occur in a data warehouse system: