As enterprises accumulate massive amount of data, the demand for a new way to manage and derive value from data is greater than ever. Data lakes meet the need to economically harness and derive value from surging data volumes and have become integral to every business.
Raw, flowing, long-term, and low cost. It's what makes a Data Lake so integral to every business. Data lakes meet the need to economically harness and derive value from exploding data volumes.
Data lakes and data warehouses are both design patterns, but they are opposites. Data lakes complement warehouses with a design pattern that focuses on original raw data fidelity and long-term storage at a low cost while providing a new form of analytical agility.
But, not all data lake solutions are created equal. On the surface, they appear straightforward—offering a way to manage and exploit massive volumes of structured and unstructured data. But, they are not as simple as they seem, and failed data lake projects are not uncommon across many types of industries and organizations.
A properly designed data lake solution, ensures end-user adoption, secure storage and access, provide deep integration, and avoids data silos.
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