Essential Guide to Data Lakes

How can businesses consolidate all their data? Centralizing all data within a data warehouse can prove effective for a number of use cases. While this approach may work for some businesses, others may require advanced scalability, accessibility, and a need to better control costs. A data lake, which allows all data types in any volumes to be stored and made available without the need to transform it before being ready for analysis, can address these unique requirements by providing a cost-effective resource for scaling, storing and accessing large volumes of diverse data types.

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