data hierarchy - definition. What is data hierarchy
Diclib.com
قاموس ChatGPT
أدخل كلمة أو عبارة بأي لغة 👆
اللغة:

ترجمة وتحليل الكلمات عن طريق الذكاء الاصطناعي ChatGPT

في هذه الصفحة يمكنك الحصول على تحليل مفصل لكلمة أو عبارة باستخدام أفضل تقنيات الذكاء الاصطناعي المتوفرة اليوم:

  • كيف يتم استخدام الكلمة في اللغة
  • تردد الكلمة
  • ما إذا كانت الكلمة تستخدم في كثير من الأحيان في اللغة المنطوقة أو المكتوبة
  • خيارات الترجمة إلى الروسية أو الإسبانية، على التوالي
  • أمثلة على استخدام الكلمة (عدة عبارات مع الترجمة)
  • أصل الكلمة

%ما هو (من)٪ 1 - تعريف

SYSTEMATIC ORGANIZATION OF DATA IN A HIERARCHICAL FORM SHOWING RELATIONSHIPS BETWEEN SMALLER AND LARGER COMPONENTS
  • Data Hierarchy diagram

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. (1995-11-03)
Data hierarchy         
Data hierarchy refers to the systematic organization of data, often in a hierarchical form. Data organization involves characters, fields, records, files and so on.
underling         
  • Career-oriented purposes can be diagrammed using a hierarchy describing how less important actions support a larger goal.
  • Maslow's hierarchy of human needs]]. This is an example of a hierarchy visualized with a triangle diagram.  The hierarchical aspect represented here is that needs at lower levels of the pyramid are considered more basic and must be fulfilled before higher ones are met.
  • tree]]. Diagrams like this exemplify [[organizational chart]]s.
  • sets]], the resulting ordering is a ''nested hierarchy''.
SYSTEM OF ELEMENTS WITH MULTIPLE LEVELS OR TIERS THAT ARE SUBORDINATED TO EACH OTHER
Containment hierarchy; Hierarchy member; Hierarchical relationship; Immediate subordinate; Immediate superior; Rooted hierarchy; Subordinate; Hierachy; Hierarchical; Hierarchichal; Heirarchy; Hierarchically; Hierarchies; Heirarchical; Hierarchism; Hierarchal structure; Hierarchical structure; Hiearchy; Heiarchy; Social hierarchies; Nested hierarchy; Hierarchie; Subordinates; Overlapping hierarchy; Branching hierarchy; Linear hierarchy; Flat hierarchy; Nested heirarchies; Position of authority; Hierachical; Underling; Hierarchic; Subsumptive containment hierarchy; Compositional containment hierarchy
(underlings)
You refer to someone as an underling when they are inferior in rank or status to someone else and take orders from them. You use this word to show that you do not respect someone.
...underlings who do the dirty work.
= minion
N-COUNT [disapproval]

ويكيبيديا

Data hierarchy

Data hierarchy refers to the systematic organization of data, often in a hierarchical form. Data organization involves characters, fields, records, files and so on. This concept is a starting point when trying to see what makes up data and whether data has a structure. For example, how does a person make sense of data such as 'employee', 'name', 'department', 'Marcy Smith', 'Sales Department' and so on, assuming that they are all related? One way to understand them is to see these terms as smaller or larger components in a hierarchy. One might say that Marcy Smith is one of the employees in the Sales Department, or an example of an employee in that Department. The data we want to capture about all our employees, and not just Marcy, is the name, ID number, address etc.