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The Ranger Admin portal is the central interface for security administration. Users can create and update policies, which are then stored in a policy database. Plugins within each component poll these policies at regular intervals. The portal also consists of an audit server that sends audit data collected from the plugins for storage in HDFS or in a relational database.
Ranger plugins: Plugins are lightweight Java programs which embed within processes of each cluster component. For example, the Apache Ranger plugin for Apache Hive is embedded within Hiveserver2.These plugins pull in policies from a central server and store them locally in a file. When a user request comes through the component, these plugins intercept the request and evaluate it against the security policy. Plugins also collect data from the user request and follow a separate thread to send this data back to the audit server.
User group sync: Apache Ranger provides a user synchronization utility to pull users and groups from Unix or from LDAP or Active Directory. The user or group information is stored within Ranger portal and used for policy definition
The purpose of Atlas is to leverage metadata to drive exchange, agility and scalability in the security and governance solutions for Big Data. In a true data lake with multi-tenant environment, conventional management of entitlement and enforcement will not work due to scale issues and new patterns must be used. Data stewards curate the data as they are the SMEs (tagging), and the security admins create a policy once based on tags (access rules). In our thinking, this the ONLY scalable solution. We have it and CDH does not.
HDP security offering maturing and represents growing of our “little” elephant
Security and Governance on Hadoop with Apache Atlas and Apache Ranger by Srikanth Venkat