OK, for those of you who just want to grab a promotion code... I'll make it short 😂:
TEDAMOH
As a speaker at both conferences I give you 15% on the DMZ EU and 20% on the DMZ US. You can register here.
For those of you who are also interested in what I'm going to talk about, a few more informations:
The BI Center of Competence (CoC) has decided to use bitemporal data storage when setting up a new data warehouse for one of the business units of the fictitious company FastChageCo™.
BI CoC is well advanced in the bitemporal implementation of Data Vault database objects as well as loading patterns. The already connected systems via formally defined incoming interfaces have worked without problems so far.
We, Stephan and myself, are looking forward to welcome you at the TDWI Conference at the MOC Munich from June 24th - 26th, 2019! Meet us at our booth, discuss bitemporal topics, data vault or data modeling at all with us and attend one of Dirk Lerner's lectures:
In recent weeks I have read so many pessimistic and negative articles and comments in the social media about the state of data modeling in companies in Germany, but also worldwide.
Why? I don't know. I can't understand it.
I know many companies that invest a lot of time in data modeling because they have understood the added value. I know many companies that initially rejected data modeling as a whole, but understood its benefits through convincing and training.
Isn't it the case that we (consultants, managers, project managers, subject-matter experts, etc.) should have a positive influence on data modeling? To support our partners in projects in such a way that data modeling becomes a success? If we ourselves do not believe that data modeling is a success, then who does?
A few weeks ago I received a surprisingly open and honest feedback on my recently published article "13 tips ...". I never ever expected that! After a short email exchange, I was allowed to publish the feedback anonymously. Below is the incredible feedback[3]. You see, you are not alone with the challenges of a Data Vault project:
Hi Dirk
Thanks for sending me the English version of the paper. I'm based in […] [1] and Data Vault is not generally established here yet.
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.