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?
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:
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.
Model driven decision making
During #XP19 you’ll be able to take part in our (Matze and myself) deep dive session about Model driven decision making: Data (Vault) Modeling and Deep Learning. It has been designed to give you a (very) short hands-on and practical guidance.
What is this 15 minute deep dive session about at #XP19?
FastChangeCo and the Fast Change in a Hybrid Cloud Data Warehouse with elasticity
What is this 20 minute talk about at #BAS19?
The fictitious company FastChangeCo 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.
Oder wie Sie erfolgreich jede Ebene des Data Warehouse torpedieren
Sie sind erfolgsverwöhnt und haben das ewige Schulterklopfen satt? Sie wollen nicht auch noch bei Ihrem ersten Versuch zur Umsetzung eines Data-Vault-Projekts so erfolgreich sein, dass alle Kollegen neidisch werden?
This blog post will be a review of the Global Data Summit. But first I would like to lose a few sentences about the Advanced Data Vault & Ensemble Modelling meeting, organized by Hans Hultgren and Remco Broekmann. It is an event that brought together experienced data modelers from all over the world (New Zealand, South Africa, Europe and the USA) around Data Vault, Focal and Ensemble Logical Modeling (ELM). That sounds promising, doesn't it?
Advanced Data Vault & Ensemble Modelling
There were two interesting days with many topics around Data Vault and ELM, which were put up for discussion. The idea behind the meeting is to think further, e. g. where to go with Data Vault and ELM and what the participants can contribute from their own experiences. I personally find some of the points discussed very interesting and exciting and should be pursued further. With others I have to go into myself and continue researching. Most likely, I'll go into other blog posts on different topics, such as the discussion about concatenated key, partitioned links or how you can do without satellites on links. I will see.
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