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Apache Sentry is an authorization system for data and metadata stored in Hadoop. It is designed to ensure that only authorized users can access and modify data in Hadoop. Apache Sentry is unique in that it provides role-based access control, which allows administrators to assign different levels of access to different users based on their roles. This makes it an excellent tool for organizations that need to ensure that only authorized users can access sensitive data.
Sentry has a server called Sentry Service (SentryServer) that runs on one or more nodes in a cluster. The SentryServer receives and processes requests from Hadoop services like Hive, Impala, Pig, and Solr. Sentry uses a policy file that defines the rules and permissions for each role. These policies are stored in a database such as MySQL or MariaDB and loaded into the SentryServer.
Apache Sentry is essential for organizations that need to ensure that only authorized users can access sensitive data. Sentry makes it possible to assign different levels of access to different users based on their roles. This means that administrators can control who can view, modify, or delete data in Hadoop. Sentry is also an open-source project, which means that it is free to use and modify.
Sentry has several use cases in big data processing and analytics. Some of the most important use cases include:
Apache Ranger is another open-source project that provides centralized security management for the Apache ecosystem. It includes support for Apache Kafka, Apache Atlas, Apache NiFi, and Apache Solr, among others. Ranger provides many of the same features as Sentry, but it is a more comprehensive solution for security management.
Dremio users who work with Hadoop can benefit from Apache Sentry. Sentry ensures that only authorized users can access and modify data in Hadoop. This is essential for organizations that need to ensure that sensitive data is protected from unauthorized access. Dremio users who work with Hadoop can use Sentry to ensure that only authorized personnel can access and modify data in Hadoop