Around 2015, companies in the Netherlands started migrating their on-premise data warehouses to the public cloud. When doing this, it is important to realise that it is not always logical for the deployed physical data models to remain the same as they were in on-premise systems. The new technological possibilities not only allow new approaches, but can also cause anti-patterns within existing physical modelling techniques such as Dimensional modelling (Kimball) or Data Vault. Or you just need a slightly different approach to implement these techniques. The goal of this session is to give insight into the (im)possibilities in this area, looking at how this can be practically tackled within solutions like Snowflake or Google BigQuery.
Examples of physical data modelling topics we will cover:
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