Creating an Atlas Data Lake

    Atlas Data Lake is MongoDB's solution for querying data stored in low cost S3 buckets using the MongoDB Query Language. This allows analytics applications to make use of archived data for their data processing needs.

    This tutorial will guide you through the process of creating and connecting to a Data Lake in Atlas, configuring databases and collections from files stored in S3, and running MongoDB Query Language (MQL) operations.

    Screenshot of the Data Lake after running queries.

    Data Lake routes your Data Lake requests through one of the following regions:

    Data Lake RegionsAWS Regions
    Northern Virginia, North Americaus-east-1
    Oregon, North Americaus-west-2
    Ireland, Europeeu-west-1
    London, Europeeu-west-2
    Frankfurt, Europeeu-central-1
    Sydney, Australiaap-southeast-2
    Info With Circle IconCreated with Sketch.Note

    You will incur charges when running Atlas Data Lake queries. For more information, see Billing.

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