New data sources such as sensors, social media, and telematics along with new forms of analytics such as text and graph analysis have necessitated a new data lake design pattern to augment traditional design patterns such as the data warehouse. Unlike the data warehouse - an approach based on structuring and packaging data for the sake of quality, consistency, reuse, ease of use, and performance - the data lake goes in the other direction by storing raw data that lowers data acquisition costs and provides a new form of analytical agility.
Posted November 03, 2016