Simplifying machine learning through data virtualisation

It is often said that data is the new oil; a valuable commodity that drives the operations of businesses everywhere. So vast is the volume and variety of data that flows through today's organisations that data lakes have now become one of the principal data management architectures. Storing all data of interest – both structured and unstructured - in one central repository, a data lake, makes discovery easier and reduces the time spent by data scientists on selection and integration. What's more, a data lake provides massive computing power, allowing the data it holds to be transformed and combined to meet the needs of any processes that require it. The success of this model was illustrated in the findings of a recent analyst report, which discovered that organisations employing a data lake were outperforming their peers by nine per cent in organic revenue growth.