Today, most organizations recognize that their data is a valuable resource. Yet, in most cases, they fail to realize much of the potential value hidden therein. The inherent value of data is mostly hidden from view until it is activated by the presence of other synergistic data. Two datasets with little apparent utility can often be combined to form a unique value proposition. This data alchemy can produce new insights, but can also enable completely new businesses or industries. But when we try to apply traditional data processing techniques to unlock the value of data, we not only fail to glean the value expected, but we often inhibit the very process by which the value is discovered.
Data Lake is an architecture and methodology for the continuous extraction of value from complex and diverse data resources, which has enabled businesses to continue to extract new value, even as earlier insights are put into production.