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Missing data Some data values may not have been available or known when the remainder of the record was entered Not applicable Some attributes may not be relevant in some records, especially when subrelations are combined into a le Not collected Some past data may be unavailable in areas where the scope of the database has expanded over time In the design of a new system or the change of an existing one there is an opportunity to add new capabilities This means that new data elements have to be described and their structural relationships charted The new database will then have attributes for which no past values are available To manage these cases of unde ned a notation in the database is needed The schema must assign a value representation which does not con ict with legal values in the domain of the attribute It is not clear if distinct values are needed for the three cases above, although the di erence between not applicable and missing can lead to di erent actions Very few programming systems make appropriate provisions to handle any kind

Whether you re getting rid of complexity or adding it, you have to make sure whatever complexity you keep is provided at the lowest possible cost This mandate requires a rigorous analysis of every element of your service or product: Does it add value that the customer will pay for Is the value worth the cost There are a lot of approaches for delivering complexity efficiently; specifics are covered in Part III of this book But we can see the principles in operation through Toyota s impressive achievements in the past few decades

Building on the DTS capability originally added in DVD Studio Pro 3, DTS support is now expanded to include 61 format files, as well as audio in the 96kHz, 24-bit format

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of unde ned values in a manner distinct from zero values The programmers are then forced to use codes as -1, -0, 999999, 'undefined', and the like These codes invariably nd their way into computations and lead to major errors Some statistical systems have provisions for missing data, and the database can provide the required input format automatically For programming systems which do not handle unde ned values the databases system should trigger an exception procedure when an unde ned value is accessed, so that the processing programs will not compute nonsense Nonsense can be created for instance if a join operation creates result tuples for null = null This type of problem can be avoided by never equating a null value with another null value, ie, by treating each null value as distinct In counting operations null values should be ignored, so that they do not distort computed averages or deviations Not all problems are solved by these rules, and more sophisticated schemes have been proposed but have never been used in practice

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There may be a need to transform data between the outside world and the database Typical of such a transformation is the internal storage of dates in integer or Julian form (yearday) for computational convenience, while output of these dates is presented in dd/mon/yy form, so that the values make sense to humans Using letters for the month removes the ambiguity of English and European notations Such a transformation may be carried out by encoding and decoding procedures appropriate for the domain of values These routines will reside in a database library, and the schema can indicate which routine to use If the transformation program can be handled similar to a domain de nition, new and composite data types can be created and used

The domain de nitions in PASCAL are not adequate to permit DECLARE birthdate DATE but transformation programs can de de ned which will take input as 12FEB82 and convert it to 29 993 (days since 1JAN00) and vice versa The input transformation can report errors, and interval computations can be performed on the internal value Database Submodels and Access Privilege The schema will also identify elements as belonging to speci c database submodels, if this concept is supported by the database system and the database has been integrated Within each submodel there will be elements for which a user has update responsibilities and privileges, and others which the user may only read but not modify The schema is the obvious repository of access privilege information, that is, the speci cation of the users who have permission to access these data elements 12 will deal with this aspect in detail

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