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Commonality vs standardization Commonality and standardization are both techniques that build off sameness, but they play very different roles in an organization Commonality is a product design and delivery technique that confers flexibility or variety Through commonality, you will end up producing different products that internally share a lot in their materials, designs, components, etc This can be an incredibly powerful way to expand the offering without breaking the bank Standardization is quite the opposite It fights against flexibility or variety by enforcing the use of a specific part or procedure Standardization is a variation-reduction technique, used when variability is harmful For example, if you know that steps 1 to 15 of some procedure must be followed in order to reduce the possibility of errors or defects, then you need to standardize on that sequence Or if you know that material from Supplier C is far superior to those from Supplier D, then you standardize on purchasing from Supplier C To reliably produce high-quality, differentiated offerings, you ll need both techniques

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By the end of this chapter, you should be able to: Understand the role of the Menu Understand the role of the Menu Properties Create Still Menus, Audio Menus, Motion Menus Author a still image file into a Still Menu Author a layered PSD file into a Still Menu Item Author an Audio stream in a Still Menu Set Menu parameters to make a Motion Menu loop Set Menu parameters to make an Audio Menu loop Create a composite Still Menu Picture using PSD layers Author an MPEG stream into a Motion Menu Item Author an Audio stream into a Motion Menu Item Set the Loop parameter to make a Motion Menu repeat Understand how the Button Container works Understand what Buttons and Highlights are Understand how to set basic Highlights into a Menu

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Many more implementation alternatives are possible Which alternative is chosen will have a major e ect on the structure permitted by the schema The user and system developer perceive the data organization through the schema presented to them The use of the database will depend on the concepts supported by the schema, since these concepts are needed for the user to manipulate the database The debate which concepts are best will continue forever Tabular models have served models of reasonable size well When the models become large a schema which supports a hierarchical decomposition of the model space becomes desirable An integrated database will probably require a schema which can support more than one hierachical view 8-4-2 Evaluating the Alterntives for Translation of the Schema The approach shown for IDS is typical of compilation methods, while the approach shown for SOCRATE is typical for interpretation We will discuss the arguments for and against these two approaches, keeping in mind that compromises between the two methods exist as well The bene ts of compiling the schema information are the following: 1 High process time e ciency due to use of actual machine code It is generally conceded that interpretation of simple arithmetic statements is anywhere from 10 to 200 times slower than the execution of compiled code, and this experience may lead us to reject the interpretive approach 2 Special programs can be written and compiled to deal with special situations The entire processing repertory of the computer is available, including multiple compiler language and their libraries 3 No explicit space is required at process time to hold the schema 4 Facilities exist within programming languages to support this approach One of these is the capability to include source modules from a schema le, and another is the tailoring of programs provided by the use of macro expansion capabilities.

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Sec 8-4

The disadvantages of the compiled approach are the following: 1 All programs have to be regenerated when the schema changes, and new programs have to be written when new data and relationships have been speci ed 2 It is di cult to control whether all programs use the schema completely and are not dependent on speci c internal knowledge of the data organization This can leead to unpleasant suprises when changes to the schema are made 3 The apparent bene t of not requiring storage for the schema at processing time is largely illusory, since all the required information is stored somehow within the processing programs and might well appear multiple times in independent programs 4 Most compilers and higher level languages do not have the capability of de ning database structures as complex as we would like to be able to handle Conditional, composite, and iterative elds, for example, are rarely available on the language level 5 It can be di cult to adapt an existing compiler to generate code for some new hardware features which are being developed to aid databases

In its simplest sense, a platform is any unit (module, group of modules, etc) that serves as a base for multiple end products The core of the platform consists of standard components and subsystems (and the tasks used to handle those components) that are reusable in many offerings

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