Lenovo needs to build storage capacity to store and subsequently

retrieve its new data collections for analysis. Given the diversity, the

extent and the heterogeneous format of the data as well as the adhoc analysis that the company runs on the data, do you

recommend Lenovo to integrate the external data into new cubes

inside its current data warehouse structure or rather to move

towards a more flexible data lake structure? Briefly discuss the

advantages and disadvantages of such a move. Base your answer

on the data lake characteristics $(5$ credits$).$ How do you think the

business intelligence architecture and the KDD $($knowledge

discovery$)$ process in Lenovo must change in order to adapt to the

requirements of a data lake $(5$ credits$)?$