TEDAMOH Academy - Training
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.
Temporal data in a fast-changing world!
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.
Temporal data in a fast-changing world!
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.
Temporal data in a fast-changing world!
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.