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Fact-Oriented Modeling
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Articles
All articles I wrote about data warehousing, Data Vault, data modeling and more.
Enjoy reading and your comments are welcome.
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Fact-Oriented Modeling
Information Modeling in Natural Language
Fact-Oriented Modeling (FOM) is a family of conceptual methods in which facts are precisely modeled as relationships with any number of arguments. This type of modeling enables easier understanding of the model because natural language is used to create the data model. This also fundamentally differentiates FOM from all other modeling methods. This approach sounds new and exciting. However, it goes back to the 1970s in its basic features. -
Faktenorientierte Modellierung
Information Modeling in natürlicher Sprache
Fact-Oriented Modeling (FOM) ist eine Familie von konzeptuellen Methoden, bei denen die Fakten präzise als Beziehungen mit beliebig vielen Argumenten modelliert werden. Diese Art der Modellierung ermöglicht ein einfacheres Verständnis des Modells, da zur Erstellung des Datenmodells natürliche Sprache verwendet wird. Dies unterscheidet FOM auch grundlegend von allen anderen Modellierungsmethoden. Dieser Ansatz hört sich neu und spannend an. Er geht jedoch in Grundzügen bereits in die 1970er-Jahre des vorigen Jahrhunderts zurück. -
Knowledge Gap 2020
I, Stephan, am very happy that I'm invited to give a presentation at the Knowledge Gap 2020 in Munich.
My presentation is about advanced techniques in Fact-Oriented Modeling.
Often data models are built with a technical focus, because they need to be delivered fast or must meet various technical requirements. Therefore, the business aspect and the meaning of objects and relationships are swept under the table. But then the business domain later hardly understands the data model and has problems to work with it in own applications or reports – which often results in a redesign of the data model and renewed time and cost expenditures.
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Model-Driven Decision Making
FastChangeCo und seine schnelle Veränderung mit einem anpassungsfähigen Cloud Data Warehouse
Das fiktive Unternehmen FastChangeCo hat eine Möglichkeit entwickelt, nicht nur Smart Devices herzustellen, sondern auch die Smart Devices als Wearables in Form von Bio-Sensoren auf Kleidung und Lebewesen auszudehnen. Bei jedem dieser Geräte entsteht eine große Menge an (sensiblen) Daten, genauer gesagt: durch die Aufzeichnung und Aufbereitung sowie die Auswertung personen- und umweltbezogener Daten.
Read more …As a result, the team's knowledge, identification with, and trust in the data model are at a high level. This is very good, because we are facing great challenges on our way to becoming a data-driven company.
Read more …The basics of historisation are explained in detail in theory and immediately prove with practical exercises, fantastic!
Read more …With his expertise as a coach for Data Vault and flexible data warehouse architectures, Dirk Lerner can be fully recommended.
Read more …The data modeling certificate helped me a lot to get an overview of the different data modeling categories and to deepen my theoretical knowledge again after the practical work experience I made.