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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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Trust, Audits and Traceability: Bitemporality as a Governance Foundation
Part 3 ended with a question hanging in the room: whether you can actually prove what's in your reports — and who would ever ask. For three parts it was all business application. Now someone from outside is asking. And the argument that wins management over starts right here.
Past, Present, Future: Data Beyond the Now
Part 2 ended with a line from Diego: “Time travel runs forward too. Retroactive bookings, planned prices, scenarios for the future.” That's exactly where we pick up now.
Time Travel in the Data Warehouse: The Technical Core of Bitemporality
The 1st Part finished with a promise: for two timelines to interlock cleanly, their time periods have to be brought into a clear relationship with one another. That mechanism is what we look at now.
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.