Data hierarchy refers to the systematic organization of data, often in a hierarchical form. Data organization involves characters, fields, records, files and so on.[1][2] 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.
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Datahierarchy refers to the systematic organization of data, often in a hierarchical form. Data organization involves characters, fields, records, files...
A hierarchical database model is a data model in which the data are organized into a tree-like structure. The data are stored as records which are connected...
HierarchicalData Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data. Originally developed at the...
A hierarchy (from Greek: ἱεραρχία, hierarkhia, 'rule of a high priest', from hierarkhes, 'president of sacred rites') is an arrangement of items (objects...
variously as the DIKW hierarchy, wisdom hierarchy, knowledge hierarchy, information hierarchy, information pyramid, and the data pyramid, refers loosely...
In computer organisation, the memory hierarchy separates computer storage into a hierarchy based on response time. Since response time, complexity, and...
In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to...
SQL/relational, and post-relational. The two main early navigational data models were the hierarchical model and the CODASYL model (network model). These were characterized...
hard disk drive. The disk drive created a new level in the computer datahierarchy, then termed Random Access Storage but today known as secondary storage...
required to quantify data definition. A comprehensive data definition specification encompasses enterprise data, the hierarchy of data management, prescribed...
searching, sorting, and hierarchical representation of data. A trie, also known as a prefix tree, is a specialized tree data structure used for the efficient...
computer is what manipulates data by performing computations. In practice, almost all computers use a storage hierarchy,: 468–473 which puts fast but...
Understanding Data element definition Data dictionary Datahierarchy ISO/IEC 11179 metadata registry specification Metadata Representation term Universal Data Element...
common under several distributions of Linux. Block (data storage) Computer file management Datahierarchy File camouflage File copying File conversion File...
Cache hierarchy, or multi-level cache, is a memory architecture that uses a hierarchy of memory stores based on varying access speeds to cache data. Highly...
A bounding volume hierarchy (BVH) is a tree structure on a set of geometric objects. All geometric objects, which form the leaf nodes of the tree, are...
BioVision Hierarchy (BVH) is a file format used for storing motion capture data. It was developed by BioVision, a company that was later acquired by Motion...
road hierarchy categorizes roads according to their functions and capacities. While sources differ on the exact nomenclature, the basic hierarchy comprises...
top-level hierarchy refers to the hierarchy defined by the prefix before the first dot. The most commonly known hierarchies are the Usenet hierarchies. So for...
eight bits of actual data. For synchronous communication the error checking usually uses bytes at the end of a frame. DataDatahierarchy Nibble Octet (computing)...
If the data is less structured, then often they are just stored as files. There are several options: File systems represent datahierarchically in nested...
however, this assumption may not hold in non-independent data, such as multilevel/hierarchical, longitudinal, or correlated datasets. Non-independent sets...
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