account can only get computing resource with managed ACLs, e.g. Queue Access Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account supported cluster managers, including YARN, Mesos, Kubernetes, Stan- dalone, and local. The SPA policy also make it possible for you to launch different applications against different cluster managers Spark applications. For example, you can run Spark SQL engines created by the Kyuubi on any cluster manager, including YARN, Kubernetes, Mesos, e.t.c... Or, you can manipulate data from different data

account can only get computing resource with managed ACLs, e.g. Queue Access Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account supported cluster managers, including YARN, Mesos, Kubernetes, Stan- dalone, and local. The SPA policy also make it possible for you to launch different applications against different cluster managers Spark applications. For example, you can run Spark SQL engines created by the Kyuubi on any cluster manager, including YARN, Kubernetes, Mesos, e.t.c... Or, you can manipulate data from different data

clear view of what end users are doing, ensure authentication, authorization, and auditing for both cluster and data security, and so forth. In general, the complete ecosystem of Kyuubi falls into the hierarchies module plays the role of a unified gateway. The server enables simplified, secure access to any cluster resource through an entry point to deploy different workloads for end(remote) users. Behind this The resource acquirement and data and metadata access all happen within their own engine. Thus, cluster managers and storage providers can easily guarantee data and resource security. Besides, Kyuubi also

clear view of what end users are doing, ensure authentication, authorization, and auditing for both cluster and data security, and so forth. In general, the complete ecosystem of Kyuubi falls into the hierarchies module plays the role of a unified gateway. The server enables simplified, secure access to any cluster resource through an entry point to deploy different workloads for end(remote) users. Behind this The resource acquirement and data and metadata access all happen within their own engine. Thus, cluster managers and storage providers can easily guarantee data and resource security. Besides, Kyuubi also

clear view of what end users are doing, ensure authentication, authorization, and auditing for both cluster and data security, and so forth. In general, the complete ecosystem of Kyuubi falls into the hierarchies module plays the role of a unified gateway. The server enables simplified, secure access to any cluster resource through an entry point to deploy different workloads for end(remote) users. Behind this The resource acquirement and data and metadata access all happen within their own engine. Thus, cluster managers and storage providers can easily guarantee data and resource security. Besides, Kyuubi also

clear view of what end users are doing, ensure authentication, authorization, and auditing for both cluster and data security, and so forth. In general, the complete ecosystem of Kyuubi falls into the hierarchies module plays the role of a unified gateway. The server enables simplified, secure access to any cluster resource through an entry point to deploy different workloads for end(remote) users. Behind this The resource acquirement and data and metadata access all happen within their own engine. Thus, cluster managers and storage providers can easily guarantee data and resource security. Besides, Kyuubi also

org/docs/current/hadoop-yarn/hadoop-yarn- site/FairScheduler.html#Queue_Access_Control_Lists], from cluster managers, e.g. Apache Hadoop YARN [https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN supported cluster managers, including YARN, Mesos, Kubernetes, Standalone, and local. The SPA policy also make it possible for you to launch different applications against different cluster managers. Configurations Engines Security 1. Authentication 2. Kinit Auxiliary Service 3. Hadoop Credentials Manager 4. ACL Management Guide Client Documentation 1. Access Kyuubi with Hive JDBC and ODBC Drivers

org/docs/current/hadoop-yarn/hadoop-yarn- site/FairScheduler.html#Queue_Access_Control_Lists], from cluster managers, e.g. Apache Hadoop YARN [https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN supported cluster managers, including YARN, Mesos, Kubernetes, Standalone, and local. The SPA policy also make it possible for you to launch different applications against different cluster managers. Configurations Engines Security 1. Authentication 2. Kinit Auxiliary Service 3. Hadoop Credentials Manager 4. ACL Management Guide Client Documentation 1. Access Kyuubi with Hive JDBC and ODBC Drivers

clear view of what end users are doing, ensure authentication, authorization, and auditing for both cluster and data security, and so forth. In general, the complete ecosystem of Kyuubi falls into the hierarchies module plays the role of a unified gateway. The server enables simplified, secure access to any cluster resource through an entry point to deploy different workloads for end(remote) users. Behind this The resource acquirement and data and metadata access all happen within their own engine. Thus, cluster managers and storage providers can easily guarantee data and resource security. Besides, Kyuubi also

account can only get computing resource with managed ACLs, e.g. Queue Access Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account supported cluster managers, including YARN, Mesos, Kubernetes, Stan- dalone, and local. The SPA policy also make it possible for you to launch different applications against different cluster managers applications. For example, you can run Spark/Flink/Trino SQL engines created by the Kyuubi on any cluster manager, including YARN, Kubernetes, Mesos, e.t.c... Or, you can manipulate data from different data