Data lakes on Amazon S3 are essential for building modern business intelligence and machine learning applications.

Whether it’s an infiltration detection engine powered by petabytes of security logs, therapeutics discovery leveraging miscellaneous genomic and medical data, or regulatory compliance across millions of financial transactions and records, Amazon S3 data lakes are now at the center of leading enterprises’ innovation engine.

Data lakes have reached the point of maturity when resilience, recoverability, and compliance of its resident data are now fundamental to its architectural principles. No matter your use case or stage of adoption, the data powering your data lake needs to be able to withstand operational disruptions, accidental data loss, and malicious events. And when cloud operations and platform services teams think about data resilience, the first thing that comes to mind
is backup and recovery.