data hierarchy


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data hierarchy

The system of data objects which provide the methods for information storage and retrieval. Broadly, a data hierarchy may be considered to be either natural, which arises from the alphabet or syntax of the language in which the information is expressed, or machine, which reflects the facilities of the computer, both hardware and software.

A natural data hierarchy might consist of bits, characters, words, phrases, sentences, paragraphs, and chapters. One might use components bound to an application, such as field, record, and file, and these would ordinarily be further specified by having data descriptors such as name field, address field, etc. On the other hand, a machine or software system might use bit, byte, word, block, partition, channel, and port.

Programming languages often provide types or objects which can create data hierarchies of arbitrary complexity, thus allowing software system designers to model language structures described by the linguist to greater or lesser degree.

The distinction between the natural form of data and the facilities provided by the machine may be obscure, because users force their needs into the molds provided, and programmers change machine designs. As an example, the natural data type "character" and the machine type "byte" are often used interchangably, because the latter has evolved to meet the need of representing the former.
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Data hierarchy is a prioritization tool for automatically selecting the most reliable information as the basis for a pipe segment's risk assessment; it must be considered for each data variable prior to incorporation in the risk model.
In addition, data hierarchy is used to manage the data in a hierarchical form because the record is always a collection of related fields [5][21].
In this study, we referred to the node that was associated with the specific data as the data element and to the node for accessing the data as the high level data hierarchy. An example was applied to this hierarchy in Fig.
After identifying the appropriate APS source database (the Army War Reserve Deployment System), dummy APS performance metrics and readiness data were entered in the ASC SMS data hierarchy. As the Army's leaders had hoped, the APS performance metrics and readiness data were simultaneously displayed on the Army, HQDA G-4, AMC, and ASC strategy maps during the demonstration.
The chief goals of the study were, first, to define GM categories within a data hierarchy that can be broadly adopted by retailers and suppliers, and secondly, to measure GM performance in a more consistent manner than has been possible heretofore and create meaningful competitive benchmarks.

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