Data lakes allow information to be added to a system without pre-processing or modelling. Contrast this with a conventional database where data must be delivered in a much more refined and formal manner. Thus a data lake offers much timelier speed of entry. However, as research from Brazil shows, even though a data lake preserves highest granularity level of the data, that useful flexibility can be problematic too. “If not managed, it is easy to lose control of the repository because of the volume it holds and its growth,” the team explains.