The Data Lake Design Pattern: Realize Faster Time to Value with Less Risk

In this white paper, discover the faster time to value with less risk to your organization by implementing a data lake design pattern. A data lake is a collection of long-term data containers that capture, refine, and explore any form of raw data at scale, enabled by low-cost technologies that multiple downstream facilities can draw upon, such as data marts, data warehouses, and data products like recommendation engines. A new data lake design pattern compliments traditional design patterns such as the data warehouse. Organizations are starting to realize value from data lakes in the four areas described here.