Many data warehouse project teams today are considering the automation of processes. How can you simplify the same tasks over and over again, leave them to an automatism and put as little permanent effort into development as possible? The desire for a solution, an automation tool, is then usually very quickly present.
What exactly is temporal data? In this session, Dirk Lerner provides insight into what temporal data is and why data is a matter of time for certain business scenarios.
With simple examples, Dirk uses these business scenarios to visualize the differences in temporal approaches to historizing data and their implications.
Finally, Dirk Lerner presents the technologies available today that have implemented (bitemporal) historization of data.