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Application areas that employ database systems currently include: Manufacturing with inventory management, Bills-of-Material processing, and production equipment scheduling Government at all levels with records on taxpaying individuals and property Financial institutions with lists of individual accounts, assets, and convertibility of funds Service industries with lists of service capabilities and allocation schedules Medical services with patient records, disease histories, problem classi cation, treatment e ectiveness data Economic models with production and consumption data for allocation and planning Scienti c research with collections of previously gathered data used to determine future research directions O ces which are automating their document management Libraries cataloging abstracts and indexes of their holdings The background and references section cites some examples from each category It will be useful to gain some understanding of the uses to which these systems are put, in order to obtain a perspective of the problems discussed We note that information systems based on data in text form, often used for automated library support, tend not to use structured data but depend greatly on searches for keywords in titles, abstracts, and author lists This book deals mainly with structured data, so that it is less relevant to applications that are based on content analysis The management of inventories in manufacturing, particularly where products consist of many parts and subassemblies, has been one of the earliest and most productive areas of database systems A particular objective of these Bills-of-Material systems is the proper accounting and order scheduling of parts that are components of diverse end products and hence particularly critical We will draw many
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examples from personnel les, since their contents and function are frequently selfevident More interesting and potentially more signi cant applications are in food and energy resource planning
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De nition of an Application of a Database In any application of computers, the purpose of the e ort should be spelled out in detail Only then can one identify and judge the relevance of the data elements contained in the les, the processes required to manipulate the data, and the le structures which will enable the processes to be e ective Knowledge of the environment is needed to determine the value of the produced information We also have to know the response time intervals required to ensure timely delivery of the system outputs All these items provide the data for system analysis and the subsequent selection of the hardware The dynamics of the application environment will provide useful information to decide the degree of formalization of the data organization and the corresponding binding times A statement of objectives and constraints, which speci es the goal and environment of the application, is an essential part of any project carried out in practice Such a statement should also be presented with any project carried out as an exercise within the scope of this book A frequent error in the formulation of objectives is the inclusion of the method or technology to be used as part of the objective A proper place for such an account is the section which describes the results of the system analysis Objective statements which imply that the desire to computerize was the reason for development of a database should send a shiver down the spine of any computing professional If the choice of methods or technology has been intentionally limited, a separate section of the objective statement should clarify such conditions
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We will treat les and databases which use les as an extension of the storage capability of a computer system Their data contents remain under the control of the system Since the user will never directly see the stored data, they can be organized and formatted by the system This allows optimal use of resources New information which enters the system or results that leave the system are handled via a separate input or output mechanism Within the data storage organization, we distinguish two levels: the le system and the database system The le system operates without knowledge of the contents of the data, whereas the database system will select data on the basis of the expected contents 1-9-1 Overview of the Material to Be Presented The chapters following will discuss the level of hardware and le systems, and we will continue with database structures only in Chap 7 2 will describe available hardware and reduce its complexities to a small number of quanti able parameters In 3 we will develop evaluation formulas based on these parameters which can be used to analyze appropriate basic le organizations 4 will introduce more complex le designs The design process, beginning from user requirements,
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