Secure Data Lake Architectures
Quelle: https://docs.aws.amazon.com/whitepapers/latest/best-practices-for-securing-data-lakes-and-analytics-in-aws/best-practices-for-securing-data-lakes-and-analytics-in-aws.pdf
TL;DR
In logistics, supply chain and transport, secure data lake architectures are centralized repository frameworks that ingest, store and analyze large volumes of raw, structured and semi-structured data from multiple sources. They incorporate security controls—such as encryption at rest and in transit, fine-grained access control, identity and access management, network segmentation, monitoring and audit logging—to protect the confidentiality, integrity and availability …
In logistics, supply chain and transport, secure data lake architectures are centralized repository frameworks that ingest, store and analyze large volumes of raw, structured and semi-structured data from multiple sources. They incorporate security controls—such as encryption at rest and in transit, fine-grained access control, identity and access management, network segmentation, monitoring and audit logging—to protect the confidentiality, integrity and availability of sensitive supply chain data and ensure compliance with industry regulations.
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