on this subject, I discussed the concept of alternatives to data warehouses. The key aspect that I raised in the piece is that organisations need to remember that technology is not a replacement for a data warehouse.
We then unpack these use cases from the traditional data warehouse and route them through a more suitable alternative. The key goal here should be to do this in such a way that we don’t end up with a disjointed solution, but still an end-to-end solution and capability that works well together. Very often, this is viewed as just a technology solution, and teams embark on a mass frenzy of data ingestion and exploitation. It is important to remember the data lake is just a technology platform.
Another example of a data warehouse alternative is the operational data store . There are many use cases that are dependent on automated data integration, to enable business processes that require batch data integration. These use cases were often pushed into the data warehouse, but due to their operational nature, would be better served with a relational, operational implementation.