After all, I am very happy to be a speaker at this year's Data Modeling Zone in Düsseldorf. Again, like at the Global Data Summit, I'm talking about one of my favorite topics: Temporal data in the data warehouse, especially in connection with data vault and dimensional modeling.
I am very pleased to be speaking at the Global Data Summit in Golden, Colorodo this year. I am talking about one of my favorite topics: Temporal data in the data warehouse, especially in connection with data vault and dimensional modeling. The title is:
Bitemporal modeling for the Agile Data Warehouse
The talk is a 5x5 presentation, that is 5 slides in 5 minutes. Afterwards, the participants have the opportunity to discuss the topic intensively with me in a 90-minute whiteboard session.
It’s late October 2016, an incredible crowd of young data-driven peeps are on their way to Berlin, looking forward to meet many other peeps with the same attitude at the Data Natives conference: Doing business with data or seeing a huge value in using data for the future. Besides the crowd I was not only impressed by the location but also by the amount of startups at the conference.
The schedule for two days was full packed with talks and it wasn’t easy to choose between all these interesting topics. So I decided not to give myself too much pressure. Instead I cruised through the program, and stumbled on some highlights.
Our 25th anniversary roundtable in Frankfurt with FCO-IM was a great success. Almost 90 registrations and more than 60 attendees is an unexpected outcome for a topic that is almost unknown in Germany. If you want to know what happened at the roundtable, read about it in my previous blog post.
Do You want to visit a presentation about Fully Communication Oriented Information Modeling (FCO-IM) in Frankfurt?
I’m very proud that we, the board of the TDWI Roundtable FFM, could win Marco Wobben to speak about FCO-IM. In my opinion, it’s one of the most powerful technique for building conceptual information models. And the best is, that such models can be automatically transformed into ERM, UML, Relational or Dimensional models and much more. So we can gain more wisdom in data modeling at all.
But, what is information modeling? Information modeling is making a model of the language used to communicate about some specific domain of business in a more or less fixed way. This involved not only the words used but also typical phrases and patterns that combine these words into meaningful standard statements about the domain [3].