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Amazon EMR Integration With AWS Lake Formation Is Now In Beta, Supporting Database, Table, and Column-level access controls for Apache Spark

Source: AWS Amazon EMR now supports enforcing AWS Lake Formation-based fine-grained access control policies for Apache Spark. You can enforce Databases, Tables, and Columns-level policies for data stored in Amazon S3. Policies defined in AWS Lake Formation are enforced when Spark applications are submitted using Apache Zeppelin or EMR Notebooks. Also included in this release is SAML-based single sign-on (SSO) to EMR Notebooks and Apache Zeppelin, simplifying authentication for organizations using Active Directory Federation Services (ADFS), Okta, or Auth0. With the combination of SAML-based SSO, and AWS Lake Formation policies, customers can securely run Spark applications on shared multi-tenant clusters with column-level access to data stored in Amazon S3.