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Hierarchical Data Modelling

Hierarchical Data Modelling is one of the earliest approaches to organizing data in computer systems. It structures data in a strict tree-like format, where…

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NETWORK DATA MODELLING

Network Data Modelling is a pre-relational database approach that organizes data using owner–member sets, allowing records to participate in multiple parent…

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OBJECT-ORIENTED DATA MODELLING

Object-Oriented Data Modelling represents data as objects that combine attributes (data) and methods (behavior), mirroring the principles of object-oriented…

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NOSQL DATA MODELLING

NoSQL Data Modelling refers to the practice of designing data structures for non-relational databases such as document stores, key-value stores, wide-column…

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DOCUMENT DATABASES

Document databases store data as JSON-like documents that can contain nested fields, arrays, and variable structures. Instead of organizing information into…

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KEY–VALUE DATABASES

Key–Value databases represent the simplest form of non-relational data storage. They store data as a pair consisting of a unique key and its associated value…

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COLUMNAR (WIDE-COLUMN) DATABASES

Wide-Column databases, often referred to as column-family databases, organize data into rows and dynamic columns grouped into column families. Unlike traditi…

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GRAPH DATABASES

Graph databases store data as nodes and edges, optimized specifically for representing and querying connected information. Nodes represent entities, while ed…

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EVENT-DRIVEN DATA MODELLING

Event-Driven Data Modelling structures data around events, discrete occurrences that capture something that has happened, typically with a timestamp and cont…

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JSON / XML SCHEMA MODELLING

JSON / XML Schema Modelling is the practice of defining structured schemas for semi-structured data formats such as JSON and XML. These schemas specify the a…