Flexibility is key when building and scaling a data lake, and choosing the right storage architecture provides you with the agility to quickly experiment and migrate to AWS. In this session, explore best practices for building a data lake on Amazon S3 that allows you to use industry-leading AWS, open-source, and third-party analytics and ML tools to gain insights from your data. Learn how to optimize your storage on Amazon S3 for data lakes, including storage classes, S3 Access Points, and running HPC workloads with Amazon FSx for Lustre.

Learn more about AWS re:Invent at https://go.aws/3ikK4dD.

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