White Paper

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.

Next Steps

Analyst Report
The Emerging Data Lake Design Pattern

Learn about how data lakes have emerged in recent years in response to organizations looking to economically harness and derive value from exploding data volumes.

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