Am 28. September 2021 startet die nächste Webinar-Reihe zur Vorbereitung der Data Modeling Certification (DMC) im Herbst 2021. Die DMC ist eine anerkannte Zertifizierung des Data Modeling Institute und hat eine hohe Relevanz für alle, die in der Branche Datenmodelle erstellen oder entwerfen.
Ich freue mich sehr, den Roundtable vom März diesen Jahres jetzt virtuell nachholen zu können.
Mit der Zeit verändern sich Informationen auf komplexe Art und Weise. Zum Beispiel ändern sich die Zuordnung von Produkten zu Produktgruppen oder auch die Zuordnung von Preisspannen der Produkte nach Zielgruppe, Vertriebskanal, Rabattsystem und vieles mehr im Zeitverlauf.
Fachbereiche planen bereits heute zukünftige Preise und Preisspannen, strukturieren Produktgruppen um, wie zum Beispiel für eigene Produktgruppen mit Rabatten speziell für den "Black Friday". Diese Informationen können und werden lange bevor sie in der Realität gültig sind, in den Systemen gespeichert.
We are back again after a long time, with a new webinar. The last one, we (Mathias and I) did together is almost four years ago. Time flies by! What's up this time?
The fictitious company FastChangeCoTM has developed a possibility not only to manufacture Smart Devices, but also to extend the Smart Devices as wearables in the form of bio-sensors to clothing and living beings. With each of these devices, a large amount of (sensitive) data is generated, or more precisely: by recording, processing and evaluating personal and environmental data.
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.
I am pleased to say that I will be participating at this year’s Enterprise Data & Business Intelligence and Analytics Conference Europe 18-22 November 2019, London. I will be speaking on the subject ‘From Conceptual to Physical Data Vault Data Model’ and (for sure) on my hobby horse subject temporal data: ‘Send Bi-Temporal Data from Ground to Vault to the Stars’. See my abstracts for the sessions below.
Blogposts around the TDWI Roundtable Frankfurt.
Fact-Oriented Modeling (FOM) stands for a family of fact-oriented conceptual modeling methods. FOM facilitates easier communication about the conceptual model between the modeler and the domain expert by verbalization of concrete examples in the language of the domain expert, a design process as a guide for creating the model and the focus on elementary facts. The most popular methods in this family are Cognition Enhanced Natural Language Information Analysis Method (CogNIAM), Second Generation Object Role Modeling (ORM 2) and Fully Communication Oriented Information Modeling (FCO-IM).
If everything would happen at the same time, there would be no need to store historic data. We, the consumers of data, would know each and everything at the same instant. Beside all the other philosophical impacts, if time wouldn’t exists, is data still necessary?
(Un)fortunately time exists and data architects, data modelers and developers have to deal with it in the world of information technology.
In this category about temporal data I will collect all my blogposts about this fancy topic.