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Relatively little is written about derived schemas in dimensional modeling, other than snapshots and accumulating snapshots. Perhaps this is so because derived schemas are easy to intuit when the situation calls for them. In situations that call for derived schemas, Kimball and Ross refer to the original dimension structure as a first-level data mart, and the derived structure as a consolidated data mart. This terminology has been avoided here, since this book reserves the term data mart for a subject area, rather than a single star. Recognizing what Kimball and Ross mean by these terms, however, will help you interpret some of the following references: Kimball and Ross allude to the use of derived tables for profitability by precomputing the results of drilling across several stars representing costs and revenue. This is described in 3 of The Data Warehouse Toolkit, Second Edition (Wiley, 2002). That same chapter suggests that some consolidated data marts may represent a simple union of first-level data marts. As you read it, think of deriving a core fact table from custom ones, or deriving a whole from slices. Kimball and Ross describe a merged fact table that can be used to study budget variances in 7 of The Data Warehouse Toolkit. This is similar to the goal versus performance example from this chapter. Kimball et al. describe a merged fact table used to compare forecast to actual data in 6 of The Data Warehouse Lifecycle Toolkit, Second Edition (Wiley, 2008) by Ralph Kimball, Margy Ross, Warren Thornthwaite, Joy Mundy, and Bob Becker. Like any other dimensional schema, a derived table may serve as the basis for a presummarized aggregate. In 9 of Mastering Data Warehouse Aggregates (Wiley, 2006), I discuss the construction of aggregates to supplement merged, pivoted, and sliced fact tables.

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I installed some free barcode font, and created a template on Excel (just some simple formulas to create consecutive values) and printed normally. Then I sticked ...

n Declare roles for the EJB module using the @DeclareRoles annotation. n Set the security identity using the @RunAs annotation.

Using Java 5 Annotations with EJB components One of the goals in EJB 3.0 is to reduce the number of pieces that a bean provider must provide. In the EJB 3.0 world, all kinds of enterprise beans are plain old Java objects (POJO) with appropriate annotations. Annotations can be used to define the bean s business interface, Object/Relational (O/R) mapping information, resource references, and practically anything else that was previously defined by deployment descriptors or interfaces in the prior EJB specifications. Consequently, deployment descriptors are no longer required, the home interface is no more, and you don t necessarily have to implement a business (remote) interface because the container can generate it for you.

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Applications that have been written using the EJB 3.0 specification can specify the following authorization security options with the annotation facility:

Optimization of data warehouse performance is a never-ending process As technology vendors have improved the capabilities of computer hardware and software, warehouse developers have responded by storing and analyzing larger and more granular sets of data In this ongoing quest for performance, the most powerful and effective tool at your disposal is the aggregate Planned and integrated carefully, aggregates can have an extraordinary impact on the performance of your data warehouse Their benefits can be realized without significant investment in specialized hardware and software, using tools that are already present in the data warehouse Additional tools may help create and manage aggregates, but they are not required Like a derived schema, an aggregate is a supplemental data structure that helps make things go faster Derived schemas, which you learned about in the previous chapter, improve performance by restructuring data in a manner suited to a particular class of query.

CREATE TABLE [dbo].[InventoryPrim] ( [Inventoryid] [int] NOT NULL , [Make] [varchar] (50) NULL , [Model] [varchar] (50) NULL ,

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n Declare roles for the EJB module using @SecurityRoles annotation. n Assign roles to the bean class and/or bean methods with

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