AWS re:Invent 2018: Best Practices to Secure Data Lake on AWS (ANT327)

Опубликовано 27 ноября 2018, 19:13

As customers are looking to build Data lakes to AWS, managing security, catalog and data quality becomes a challenge. Once data is put on Amazon S3, there are multiple processing engines to access it. This could be either through a SQL interface, programmatic, or using API. Customers require federated access to their data with strong controls around Authentication, Authorization, Encryption, and Audit. In this session, we explore the major AWS analytics services and platforms that customers can use to access data in the data Lake and provide best practices on securing them.