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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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The Three Levels — and the One That Gets Skipped
How many vehicles does Sales actually use? That is the kind of question you assume is already answered before you ask it. The table shows which person belongs to which vehicle, and it is well maintained — no gaps, nothing null. What it does not tell you is whether that person was assigned the car or actually drove it, and the answer turns on exactly that.
Data Modeling Fundamentals: Where Do You Actually Start?
In most projects the first table exists before the first definition. That is understandable — you can show a table, while a definition first has to be agreed on. And that agreement decides whether you end up with answers or with numbers three departments argue about.
Data Modeling as Competitive Advantage: What Good Information Models Are Really Worth
"Michael, I have a simple question." Silvia Seven, CFO of FastChangeCo, pushes the project status deck aside. "How many projects have redefined what a 'customer' is from scratch in the last two years?" Michael Mueller swallows. He knows the answer. And it's uncomfortable.
Read more …As a long-standing partner of TEDAMOH, we would like to express our enthusiasm and appreciation for the cooperation in our Smart Factory project. One of our outstanding achievements was the successful implementation of a fully automated production line at our plant in Bamberg.
Read more …First of all, I would like to emphasize that preparing for the DMC was a challenging but absolutely rewarding experience. In order to pass the exam successfully, I focused on different methods:
Read more …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!
Read more …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.