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Data Lakes with Supermicro® Storage Servers

Organizations are increasingly turning to data lakes for storing all of their data with the economics of on-premises infrastructure.

Data lakes have three characteristics that make them compelling for this purpose. They typically store data in its native format, including structured, unstructured, and semistructured data for applications including data warehouses, big data, and AI training data. They provide a high level of security including support for immutable files and objects that can protect active data as well as backups, ensuring they can recover from ransomware attacks. Finally, data lakes are elastic and can grow as needed, economically, to store massive amounts of data.

Supermicro offers a range of storage servers that are based on AMD EPYC™ processors and built to support the needs of the various types of data lakes discussed in this paper.

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