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A new data model for the data warehouse is necessary, but how do you model data? Understanding temporal data and learning methods and techniques to do so? Or a certification in data modeling?

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TEDAMOH Team - Stephan, Kim and Dirk

Blank sheets of paper for notes during seminars at the TEDAMOH Academy - Photo by Brandi Redd on Unsplash

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Fact-Oriented Modeling

  • Articles

    My articles

    All articles I wrote about data warehousing, Data Vault, data modeling and more.

    Enjoy reading and your comments are welcome.

  • Fact-Oriented Modeling

    Information Modeling in natürlicher Sprache

    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

    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.

  • Model-Driven Decision Making

    Model-Driven Decision Making
    FastChangeCo - ein anpassungsfähiges Data-Warehouse für schnelle Veränderungen


    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.

  • Model-Driven Decision Making

    Model-Driven Decision Making
    FastChangeCo - an adaptable data warehouse for rapid changes


    The fictitious company FastChangeCo has developed a way not only to manufacture smart devices, but also to extend smart devices to clothing and living beings as wearables in the form of bio-sensors. Each of these devices generates a large amount of (sensitive) data, more precisely: through the recording, processing and analysis of personal and environmental data.

/ Testimonials

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What customers say about TEDAMOH!

MORE ABOUT US

Data Modeling Master Class

The training is highly recommended because the complexity and added value of modelling becomes clear. It is also comprehensive and covers all aspects of modelling. Everyone benefits from modelling! 

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TEDAMOH - Testimonial Coaching und Training

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.

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 The basics of historisation are explained in detail in theory and immediately prove with practical exercises, fantastic!

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With his expertise as a coach for Data Vault and flexible data warehouse architectures, Dirk Lerner can be fully recommended.

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