Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools with managed ACLs, e.g. Queue Access Control Lists [https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn- site/FairScheduler.html#Queue_Access_Control_Lists], from cluster managers, e.g. Apache create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign

Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools with managed ACLs, e.g. Queue Access Control Lists [https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn- site/FairScheduler.html#Queue_Access_Control_Lists], from cluster managers, e.g. Apache create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign

Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools with managed ACLs, e.g. Queue Access Control Lists [https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn- site/FairScheduler.html#Queue_Access_Control_Lists], from cluster managers, e.g. Apache create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign

Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools with managed ACLs, e.g. Queue Access Control Lists [https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn- site/FairScheduler.html#Queue_Access_Control_Lists], from cluster managers, e.g. Apache create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign

Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools resource with managed ACLs, e.g. Queue Access Control Lists [https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn- site/FairScheduler.html#Queue_Access_Control_Lists], from cluster managers, e.g. Apache create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop- hdfs/HdfsDesign

Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools resource with managed ACLs, e.g. Queue Access Control Lists [https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn- site/FairScheduler.html#Queue_Access_Control_Lists], from cluster managers, e.g. Apache create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop- hdfs/HdfsDesign

Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools resource with managed ACLs, e.g. Queue Access Control Lists [https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn- site/FairScheduler.html#Queue_Access_Control_Lists], from cluster managers, e.g. Apache create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop- hdfs/HdfsDesign

Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools Access Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. 5 Kyuubi, Release 1.3.0 6 Chapter 2. Ease of Use CHAPTER THREE RUN ANYWHERE Kyuubi can submit

Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools Access Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. 5 Kyuubi, Release 1.3.0 6 Chapter 2. Ease of Use CHAPTER THREE RUN ANYWHERE Kyuubi can submit

Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools Access Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. 5 Kyuubi, Release 1.5.0-incubating 6 Chapter 2. Ease of Use CHAPTER THREE RUN ANYWHERE Kyuubi