Flexibility is key when building and scaling a data lake, and by choosing the right storage architecture, you will have the agility to quickly experiment and migrate to AWS. This session explores best practices for building a data lake on Amazon S3, which allows you to leverage industry-leading AWS, open-source, and third-party analytics and ML tools and gain insights from your data. This session also explores how to optimize your storage on Amazon S3 for data lakes, including information on storage classes, S3 access points, and running HPC workloads with Amazon FSx for Lustre.

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