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Introduction Apache Ranger provides centralized security for Enterprise Hadoop ecosystem, including fine-grained access control and centralized auditing. In ranger0.5 Version, Apache Ranger introduced
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01
Log in to the Apache Ranger UI using your credentials.
02
Click on the 'Policies' tab on the left-hand side menu.
03
Click on the 'Add New Policy' button to create a new policy.
04
Fill out the necessary details for the policy, such as the policy name, resource path, and access types.
05
Select the appropriate user or group for the policy under the 'Policy Items' section.
06
Configure any additional conditions or options for the policy as required.
07
Click on the 'Submit' button to save the policy.
08
Repeat steps 3-7 for each policy you need to fill out in Apache Ranger.

Who needs apache ranger aims to?

01
Apache Ranger aims to serve multiple audiences, including:
02
- System administrators who need to manage and enforce fine-grained access policies for Hadoop components such as HDFS, Hive, HBase, etc.
03
- Data stewards who need to define access policies and permissions for sensitive data.
04
- Security administrators who need to monitor and audit user access to sensitive data and detect any unauthorized activities.
05
- Compliance officers who need to ensure that data access policies align with regulatory requirements and industry best practices.
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Apache Ranger aims to provide a comprehensive approach to security for Hadoop ecosystem components.
Organizations using Hadoop ecosystem components may be required to file Apache Ranger policies.
Apache Ranger policies can be filled out using the Ranger Admin UI or through REST APIs.
The purpose of Apache Ranger is to ensure data security and governance within the Hadoop ecosystem.
Apache Ranger policies typically include information on who can access what data and under what conditions.
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