In the previous post, we discussed data warehouse concept and emphasis key aspects such as data consistency, data history, complexity of the data integration process as the number of data sources grows and time to market. The enterprise data warehouse is built for analytical purpose and stored mainly structured data. It gives a competitive advantage […]
Data warehouse
Over the past weeks I was involved in few discussions where it appeared that the difference between enterprise data warehouse and data lake is not crystal clear for some decision makers. Let’s explore in this series of two posts the key differences between these two concepts and how they can be bound together. The enterprise […]
