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Sliced fact tables serve handily in a variety of situations The most common involves a regional or departmental focus, as in the example Slices limit the size and scope of the data set without sacrificing detail This makes them easier to distribute across physical locations, enables deployment in mobile applications, helps enforce security requirements, and permits generation of cubes of manageable size Distributed solutions require replication of data to different platforms or locations Where distributed systems have a regional focus, a sliced fact table reduces the amount of information that must be replicated, without sacrificing detail By deploying sliced fact tables or cubes, you replicate all dimensions at each location, along with only the relevant subset of facts Mobile solutions may be more severely limited by the size of the data set that can be carried offline.

To control access programmatically to an enterprise bean resource, the enterprise bean provider uses the isCallerInRole() and getCallerPrincipal() methods to determine whether the caller is within the specified role or is, in fact, a specific user that is authorized to perform the called functionality. Within the EJB deployment descriptor, the assembler must add a security-role-ref element for every role that is referred to within the bean code. The assembler must also add a securityrole element for the role-link in every security-role-ref element that has been added. Here is an excerpt for an EJB deployment descriptor:

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Sliced fact tables may be a convenient way to reduce the overall data set size, without sacrificing analytic detail Another useful data structure for mobile solutions is the aggregate table, discussed in 15, Aggregates Sliced fact tables offer a convenient mechanism for the enforcement of security requirements Access to slices is granted to users based on their needs, ensuring that individuals only have access to the appropriate subsets of the data as called for by their job function Table-level access is typically easier to configure and administer than row-based security schemes for the original schema As previously noted, cubes do not always scale as well as relational data structures Defining cubes as slices of the original data set is an effective way to limit their overall size, as are all of the other derivation techniques in this chapter, as well as the aggregation techniques in 15.

<ejb-jar> ... <enterprise-beans> ... <ejb-name>ProgrammaticSecurity</ejb-name> ... <security-role-ref> <role-name>programmatic</role-name> <role-link>programmatic_role</role-link> </security-role-ref> ... </enterprise-beans> ... <assembly-descriptor> <security-role> <role-name>programmatic_role</role-name> </security-role> ... </assembly-descriptor> ... </ejb-jar>

Traditionally, RDBMS installation is perceived as complicated, and your customer will understand that you need to send a database administrator (or a couple of them) to set up the environment. When you work with a file-based database system such as Access, database deployment is not a big issue. You usually create a setup program for your client application, and your database (mdb) file is just one more file that must be installed on the computer. When you are working in a client/server environment with SQL Server, you first have to install and configure the database server and then install databases. Fortunately, installation of SQL Server has been simplified significantly. Almost anyone can perform it and there are usually no problems. In fact, SQL Server can be configured to be installed unattended. Microsoft SQL Server Desktop Engine (MSDE) is designed to be deployed on client computers using a special set of setup files that can be included in your setup program. Some early versions of SQL Server required that all dependent objects be present on the server before a new object could be created. Administrators had to use many tricks to transfer a database from one server to another. The introduction of Deferred Name Resolution has reduced the complexity of database deployment in the SQL Server environment. For example, a stored procedure can be created even if it references a stored procedure that is not yet on the server. Unfortunately, it is not perfect yet. For example, it is not possible to create a foreign key that references a table that is not yet in the database. The methods for database deployment can be divided into two groups: Deployment of a complete database Deployment of individual objects

NoTe The slicing technique is often referred to as horizontal partitioning of the fact table; the result contains all of the columns of the original fact table but only a subset of the original rows Each partition, or slice, is defined by a dimension value Related to the concept of horizontal partitioning is that of vertical partitioning A vertical partition takes some subset of the attributes of the original data set, as opposed to a subset of rows This may give rise to an aggregate table, as discussed in 15..

When deployed, each role-name specified in the assembly-descriptor element of the EJB deployment descriptor must be mapped to actual resources in the target server. The following excerpt is from a WebLogic server deployment descriptor that resolves the role-name to specific resources within the server:

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