Hadoop Data Access Permissions: Control Guide
In Hadoop, there are several ways to manage and control data access permissions.
- Using Hadoop’s Access Control Lists (ACLs) to control data access permissions allows administrators to specify users and groups’ access permissions for each file or directory.
- Utilize Hadoop’s file system permissions to restrict users’ access to data, with permissions including read, write, and execute.
- Utilize the authentication and authorization mechanisms of Hadoop, such as Kerberos authentication, to ensure that only users who have been authenticated can access the data.
- Utilize Hadoop’s encryption features to secure data during transmission and storage.
- Utilize Hadoop’s audit feature to monitor and record the access history of data, in order to promptly detect any unusual access behavior and take necessary actions.
By using the various methods mentioned above, it is possible to effectively manage and control access to data in Hadoop, ensuring the security and confidentiality of the data.
