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Figure demonstrating the concept of anchor modeling
Anchor modeling is an agile database modeling technique suited for information that changes over time both in structure and content. It provides a graphical notation used for conceptual modeling similar to that of entity-relationship modeling, with extensions for working with temporal data. The modeling technique involves four modeling constructs: the anchor, attribute, tie and knot, each capturing different aspects of the domain being modeled.[1] The resulting models can be translated to physical database designs using formalized rules. When such a translation is done the tables in the relational database will mostly be in the sixth normal form.
Unlike the star schema (dimensional modelling) and the classical relational model (3NF), data vault and anchor modeling are well-suited for capturing changes that occur when a source system is changed or added, but are considered advanced techniques which require experienced data architects.[2] Both data vaults and anchor models are entity-based models,[3] but anchor models have a more normalized approach.[citation needed]
^L. Rönnbäck; O. Regardt; M. Bergholtz; P. Johannesson; P. Wohed (2010). "Anchor modeling - Agile information modeling in evolving data environments". Data & Knowledge Engineering. 69 (12): 1229–1253. doi:10.1016/j.datak.2010.10.002. ISSN 0169-023X. (Preprint available here)
^Porsby, Johan. "Rålager istället för ett strukturerat datalager". www.agero.se (in Swedish). Retrieved 2023-02-22.
^Porsby, Johan. "Datamodeller för data warehouse". www.agero.se (in Swedish). Retrieved 2023-02-22.
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