This article compares Apache Sentry and Apache Ranger, two open‑source frameworks for fine‑grained, role‑based access control in Hadoop ecosystems, detailing their architectures, integration points, policy configuration, and practical examples of row‑level and column‑level security.
This article explains the principles, architecture, features, and step‑by‑step deployment of Apache Sentry with Kerberos to provide role‑based access control across Hadoop components such as Hive, Impala, and HDFS, including command‑line examples and visual diagrams.
This article explains the background, principles, key concepts, workflow, and step‑by‑step deployment of Kerberos authentication on a Cloudera CDH big‑data cluster to protect sensitive medical data, and discusses its reliability and best‑practice configurations.
The article evaluates Kerberos, Apache Sentry, and Apache Ranger for securing Meitu’s large‑scale Hadoop ecosystem, highlighting Ranger’s comprehensive, fine‑grained, policy‑based authorization across HDFS, HBase, Hive, YARN, Storm, and Kafka, and describing its configuration, LDAP integration, and custom SDK implementation.
