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The snowflake schema is in the same family as the star schema logical model. In fact, the star schema is considered a special case of the snowflake schema. The snowflake schema provides some advantages over the star schema in certain situations, including: Some OLAP multidimensional database modeling tools are optimized for snowflake schemas. [3]
"A database schema specifies, based on the database administrator's knowledge of possible applications, the facts that can enter the database, or those of interest to the possible end-users." [ 2 ] The notion of a database schema plays the same role as the notion of theory in predicate calculus .
Database model for MediaWiki 1.28.0 (2017) Different types of database models A database model is a type of data model that determines the logical structure of a database.It fundamentally determines in which manner data can be stored, organized and manipulated.
An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.
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The C4 model documents the architecture of a software system, by showing multiple points of view [5] that explain the decomposition of a system into containers and components, the relationship between these elements, and, where appropriate, the relation with its users. [3] The viewpoints are organized according to their hierarchical level: [2] [3]
The ARIS concept (Architecture of Integrated Information Systems) by August-Wilhelm Scheer aims to ensure that an enterprise information system can completely meet its requirements. This framework is based on a division of the model into description views and levels, which allows a description of the individual elements through specially ...
The two view outputs may be joined before presentation. The rise of lambda architecture is correlated with the growth of big data, real-time analytics, and the drive to mitigate the latencies of map-reduce. [1] Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record.