TDWI Report: Data Lake Purposes, Practices, Patterns And Platforms

TDWI Report: Data Lake Purposes, Practices, Patterns And Platforms

Oct 1, 2020

Many organizations are under pressure to capture, manage, and leverage both new big data and exploding volumes of traditional enterprise data. At the same time, many analytics applications demand that old and new data be consolidated at scale to enable broad data exploration and analytics correlations. The data lake has come forward as a new data-driven design pattern for persisting massive data volumes characterized by diverse data types, structures, sources, containers, and frequencies of generation.