/ tedamoh
Coaching,
Academy &
Consulting.
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?
We support you with coaching, our academy or with consulting!!
/ NEWS
Get the latest updates
Our latest updates of all categories - including our blog articles.
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.
When Data Arrives Out of Order: Late Arrivals and Corrections
There's a question that comes up in every workshop sooner or later: “Do we really need this complexity?” What people mean is bitemporal historization – two timelines instead of one, a few more columns, more logic when loading. It's a fair question.
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.