The Value in Data Lakes
Data lakes meet the need to economically harness and derive value from exploding data volumes. This “dark” data from new sources—web, mobile, connected devices—was often discarded in the past, but it contains valuable insight. Massive volumes, plus new forms of analytics, demand a new way to manage and derive value from data.
A data lake is a collection of long-term data containers that capture, refine, and explore any form of raw data at scale. It is enabled by low-cost technologies that multiple downstream facilities can draw upon, including data marts, data warehouses, and recommendation engines.