Training, seminar and workshop - these terms are often used synonymously. They all refer to further education and training events, but the objectives differ.
Roughly speaking, the trainings of the TEDAMOH Academy impart practice-oriented knowledge with theoretical basics.
If you want to train yourself in the use of a new software (tool) or method, such as the handling of temporal data, a training course comes into question. Because you can learn and try out for yourself how the programme or method works.
This Master Class is a complete data modelling course, containing five modules of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models.
After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will know not just how to build a data model, but how to build a data model well.
This training will focus on methods and techniques for handling bitemporal data in a Data Warehouse. It includes how to populate and afterwards get bitemporal data out of the Data Warehouse’s core layer.
Nowadays, most data warehouses already store “some kind of history” of data. But what about events that took place at a different time than what the data warehouse represents to us? Or data that will be valid in the future? For example, future planned prices for products and goods or special prices for discount battles or sales promotions like the “Black Friday” in the United States.