Lars Rönnbäck

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Lars Rönnbäck is a Swedish data architect and consultant in customer intelligence and information modeling,[1] and is one of the co-inventors[2][3] of the data modeling method anchor modeling for data warehouses and business intelligence together with Olle Regardt.[4][5]

The anchor method was designed in 2003/2004,[6] and formalized in 2007 at the Stockholm University.[7] Its use has been compared to data vault modeling[8][9] and other ensemble methods,[10] but is inspired by FCO-IM.[11] It is an agile modeling technique that uses sixth normal form to handle data that changes structurally and temporally.[12] The framework was formalized in an article and presented in 2008 at the International Conference on Conceptual Modeling, where it won the award for best article.[13][14] It has been compared to the star model by independent sources.[15] He has also invented transitional modeling for modeling organizations,[16][17][18][19][20] and has published articles on temporal and transitional models.[21]

Lars has a degree in mathematics from Uppsala University, and has worked as a research associate at Stockholm University at the Department of Computer and Systems Sciences.[22][23][24]

He has also published a math book with exercises that can help children and parents, as well as experienced mathematicians, to understand key situations in mathematical development in children and adults (My Little Big Math Book, 2016).[25]

References

  1. ↑ "Contact – Anchor Modeling" (in en-US). https://www.anchormodeling.com/contact/. 
  2. ↑ "Is Anchor modeling beter dan Data Vault?" (in nl). Bluefrog. 2020-07-26. https://www.bluefrog.nl/blog/is-anchor-modeling-beter-dan-data-vault/. 
  3. ↑ "BI Future Blog: Anchor modeling (Part I)". BI Future Blog. 21 February 2012. https://bifuture.blogspot.com/2012/02/anchor-modeling.html. 
  4. ↑ "Data Matters (Unseen): Data Vault vs Anchor Modeling: Who Is The One?". Data Matters (Unseen). 2013-06-07. https://dm-unseen.blogspot.com/2013/06/data-vault-vs-anchor-modeling-who-is-one.html. 
  5. ↑ The History of Time in Data Models - DATAVERSITY
  6. ↑ "Anchor Modeling – A Technique for Information under Evolution" (in en-US). Info Support Blog. 2011-06-27. https://blogs.infosupport.com/anchor-modeling-a-technique-for-information-under-evolution/. 
  7. ↑ "Innovatiesessie Anchor Modeling - Ordina | Consultancy.nl" (in nl). www.consultancy.nl. https://www.consultancy.nl/events/workshop/ordina/innovatiesessie-anchor-modeling. 
  8. ↑ "Learning from Complex Data Modeling Practices" (in en-US). DATAVERSITY. 2020-10-05. https://www.dataversity.net/learning-from-complex-data-modeling-practices/. 
  9. ↑ "Vertica and Data Modeling approach: tools and strategies to became a data driven company". https://www.bnova.it/wpress/wp-content/uploads/2019/03/Webinar-Tools-and-strategy-to-became-a-data-driven-company_5.3.2019.pdf. 
  10. ↑ "Ensemble Dinner" (in en). Data Warehousing with Oracle. 2015-06-11. https://danischnider.wordpress.com/2015/06/11/ensemble-dinner/. 
  11. ↑ "Is Data Modeling dead" (in en-US). Datavault Builder. 2023-05-26. https://datavault-builder.com/2023/05/26/is-data-modeling-dead/. 
  12. ↑ Regardt, Olle; Rönnbäck, Lars; Bergholtz, Maria; Johannesson, Paul; Wohed, Petia (2009). Laender, Alberto H. F.; Castano, Silvana; Dayal, Umeshwar et al.. eds. "Anchor Modeling" (in en). Conceptual Modeling - ER 2009 (Springer): 234–250. doi:10.1007/978-3-642-04840-1_19. https://link.springer.com/chapter/10.1007/978-3-642-04840-1_19. Retrieved 2024-04-28. 
  13. ↑ Regardt, Olle; Rönnbäck, Lars; Bergholtz, Maria; Johannesson, Paul; Wohed, Petia (2009). "Anchor Modeling". Proceedings of the 28th International Conference on Conceptual Modeling. ER '09 (Gramado, Brazil: Springer-Verlag): 234–250. ISBN 978-3-642-04839-5. 
  14. ↑ "A new article on Anchor Modeling – DASH" (in en-US). 2010-10-06. https://dash.dsv.su.se/2010/10/06/a-new-article-on-anchor-modeling/. 
  15. ↑ "The Performance of Anchor Model in Data Warehousing - Gladly Caren Rorimpandey, Jan Pieter Zwart, Julyeta Paulina Amelia Runtuwene, Ferdinan Ivan Sangkop, Vivi Peggie Rantung, Parabelem Tinno Dolf Rompas, and Cindy Pamela C. Munaiseche - Universitas Negeri Manado, North Sulawesi, Indonesia". https://www.scitepress.org/Papers/2018/90101/90101.pdf. 
  16. ↑ "Models in Times of Uncertainty". https://tdwi.org/articles/2019/02/01/diq-all-models-in-times-of-uncertainty.aspx. 
  17. ↑ "Transitional Modeling - Christian Kaul, Data Vault & Ensemble Modeling, 2019". https://obaysch.net/data/documents/Transitional-Modeling-DVEM-2019-Christian-Kaul.pdf. 
  18. ↑ "Lars Rönnbäck". https://www.cutter.com/experts/lars-r%C3%B6nnb%C3%A4ck. 
  19. ↑ "Modeling the Transitional Organization - Christian Kaul Data Modeling Zone Europe, 2019-11-08". https://obaysch.net/data/documents/Modeling-the-Transitional-Organization-DMZ.pdf. 
  20. ↑ Восхитительная теория [якорных баз данных от Ларса Рённбека / Хабр]
  21. ↑ "Temporal & Transitional Modeling" (in en-gb). 10.211.55.23. https://10.211.55.23/news/blog/267-temporal-transitional-modeling. 
  22. ↑ "Lars RÖNNBÄCK | Research Associate | Master of Science | Stockholm University, Stockholm | SU | Department of Computer and Systems Sciences | Research profile". https://www.researchgate.net/profile/Lars-Roennbaeck. 
  23. ↑ "Lars Rönnbäck". https://scholar.google.com/citations?user=x_yxXkUAAAAJ. 
  24. ↑ "Data Modeling Zone Europe September 28-29 2015 in Hamburg, Germany, page 3 (pdf page 7)". https://tedamoh.com/images/blogposts/2015/DMZEurope2015Program.pdf. 
  25. ↑ "Lars Rönnbäck: books, biography, latest update" (in en-us). https://www.amazon.com/stores/author/B01M7V0PE3/about. 
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