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Merge pull request #116559 from hrasheed-msft/patch-148
Update hdinsight-security-overview.md
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articles/hdinsight/domain-joined/hdinsight-security-overview.md

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@@ -39,7 +39,7 @@ With this setup, enterprise employees can sign in to the cluster nodes by using
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A best practice most enterprises follow is making sure that not every employee has full access to all enterprise resources. Likewise, the admin can define role-based access control policies for the cluster resources. This action is only available in the ESP clusters.
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The Hadoop admin can configure role-based access control (RBAC). The configurations secure Apache [Hive](apache-domain-joined-run-hive.md), [HBase](apache-domain-joined-run-hbase.md), and [Kafka](apache-domain-joined-run-kafka.md) with Apache Range plugins. Configuring RBAC policies allows you to associate permissions with a role in the organization. This layer of abstraction makes it easier to ensure people have only the permissions needed to do their work responsibilities. Ranger also allows you to audit the data access of employees and any changes done to access control policies.
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The Hadoop admin can configure role-based access control (RBAC). The configurations secure Apache [Hive](apache-domain-joined-run-hive.md), [HBase](apache-domain-joined-run-hbase.md), and [Kafka](apache-domain-joined-run-kafka.md) with Apache Ranger plugins. Configuring RBAC policies allows you to associate permissions with a role in the organization. This layer of abstraction makes it easier to ensure people have only the permissions needed to do their work responsibilities. Ranger also allows you to audit the data access of employees and any changes done to access control policies.
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For example, the admin can configure [Apache Ranger](https://ranger.apache.org/) to set access control policies for Hive. This functionality ensures row-level and column-level filtering (data masking). And filters the sensitive data from unauthorized users.
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