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Data Lake

Data Lake


Data Lake

Data lakes are centralized repositories for storing large amounts of raw data, including system data and data for reporting and advanced analytics. They may contain structured, semi-structured and unstructured data as well as images, audio and video.

Data lakes differ from data warehouses in that warehouses employ files-and-folder hierarchies to organize the data stored while the data lake’s flat architecture uses metadata tags to help with searching and identifying relevant information.

Most organizations operate both a data lake and a data warehouse, as they serve different needs and this chart from AWS illustrates the ideal uses of the two storage strategies.

It’s critical to secure a data lake so it isn’t accessed without authorization or altered for malicous purposes.

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