NDBMS uses set theory to solve many problems of HDBMS.
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Basic Fundamentals of HDBMS and NDBMS
The hierarchical data model organizes data in a tree structure. There is a hierarchy of parent and child data segments. This structure implies that a record can have repeated information, generally in child data segments. The hierarchical model employs two main data structuring concepts: records and parent-child relationships. A record is a collection of field values that provide information on an entity or a relationship instance. Records of the same type are grouped into record types. A record type is given a name, and its structure is defined by a collection of named fields or data items. Each field has a certain data type, such as integer, real, or string.
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The hierarchical data model organizes data in a tree structure. There is a hierarchy of parent and child data segments. This structure implies that a record can have repeated information, generally in child data segments. The hierarchical model employs two main data structuring concepts: records and parent-child relationships. A record is a collection of field values that provide information on an entity or a relationship instance. Records of the same type are grouped into record types. A record type is given a name, and its structure is defined by a collection of named fields or data items. Each field has a certain data type, such as integer, real, or string.
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