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3 The organizational level concerns itself with the building of trackage, the operation of marshaling yards, and the operational e ciency of the complex 4 The material level concerns itself with the design of locomotives, freight cars,
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signaling mechanisms, rails, and ties, and all the myriad of pieces of equipment required to actually run a railroad
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This text considers the two central levels shown in the diagram: the descriptive level and the organizational level On the descriptive level, we present the processes carried out to satisfy demands for data according to its meaning or utility relative to some problem We have to specify the data in terms which aid their selection by such processes The content of data elements is quite important Database systems provide tools to relate data elements according to their meaning Because of this concern we analyze this level using tools that employ logic and formal semantics There are also issues that required some intuition or common sense for their resolution On the organizational level, we present the processes which locate and move data according to demands of e ciency Descriptions of data may be manipulated at this level as well as the data themselves Here it is not the content but the size and the position of the data element which is of concern File systems provide tools to fetch records containing data according to relative position or name This level is analyzed using quantitative tools in order to provide good performance estimates
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Table 1-1a
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De nitions and Introduction Levels of Database Structure: conceptual and descriptive At the conceptual level we deal with information, data with suf cient signi cance to make us act Information has the essence of newness and nonredundancy so that its acquisition increases our knowledge
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Level 1
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A: Some processes used to obtain information: Cross tabulation Exception reporting Mathematical and statistical analysis Linear and dynamic programming Deductive inference B: Intellectual tools for managing information: Intuitive or formal models of the application area Formalized conceptual relationships Theory of semantics Heuristic processes C: Requirements for the production of information: Named and described data Means to collect needed data comprehensively or representatively Means to analyze such data, intellectually or automatically Level 2 At the descriptive level we deal with data, a collection of text or numbers describing items or events A: Processes used to obtain and manipulate data: Data collection Data organization Data selection and retrieval B: Intellectual tools for data manipulation: Logic Data modeling Computer science concepts of syntax and semantics Knowledge of formal languages and meta-languages Propositional and relational calculus C: Requirements for large-scale data manipulation: Named les Named or addressable records Addressable data elements Catalogs and descriptions of available facilities Facilities to obtain resources from the system Procedure libraries
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The two central levels are highly dependent on each other The descriptive level can easily specify requirements that the organizational level cannot reasonably supply using any given set of hardware On the other hand, a le organization that expands the basic hardware capabilities only minimally may impose restrictions that prevent the descriptive level from being e ective The separation of the two inner levels assures that logical requirements are kept distinct from the performance issues
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Sec 1-3
Table 1-1b
A Hierarchical View of Data Levels of Database Structure: organizational and material
Level 3
At the organizational level we deal with data representation, data removed from context, but named and processable
A: Processes used to encode data and manipulate the encoded data: Encoding and decoding Storage layout de nition File management Space management and cataloging Moving and comparing of elds containing coded data Control of errors B: Intellectual tools for the design of data representation and manipulation: Information theory Arithmetic processes Programming languages Knowledge of computer architecture and component performance C: Required for the representation of data: Storage devices for encoded data Hardware facilities to move addressed elds between memory and storage Capability for comparison of encoded data Level 4 At the material level nally we nd hardware, the equipment used to provide unformatted addressable storage
A: Processes used to obtain hardware: Engineering design Production B: Tools required for the engineer who is designing hardware: Knowledge of electronics, physics, and logic Experience in production practice C: What the engineer in turn has to rely on: Availability of components, devices, and measurement tools Availability of production facilities
The applications of a database will be a re ection of the decision maker s concept of the information problems and will vary over time as the needs, the analysis tools, and the insight of the users of the database mature During this time the operating systems and computers which support the database may evolve and change We therefore want a clean separation or interface between the levels In order to ensure that the separation of levels is not evaded, systems which attempt to support the concept of distinct levels may hide the structural detail of lower levels from users at the higher levels This idea of information hiding can remain valid only when lower level functions are reliable, complete, and reasonably e cient The independence of the descriptive and organizational levels is also referred to as data independence
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