s/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on 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 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 sources

s/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on 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 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 sources

Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on 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 sources SparkSubmit Execute Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';

Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on 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 sources SparkSubmit Execute Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';

hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on 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 2 applications. For example, you can run Spark/Flink 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 sources

hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on 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 2 applications. For example, you can run Spark/Flink 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 sources

hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on 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 2 applications. For example, you can run Spark/Flink 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 sources

Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on applications. For example, you can run Spark/Flink 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 sources Execute Spark SQL Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';

Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on applications. For example, you can run Spark/Flink 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 sources Execute Spark SQL Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';

Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on applications. For example, you can run Spark/Flink 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 sources Execute Spark SQL Statements If the beeline session is successfully connected, then you can run any query supported by Spark SQL now. For example, 0: jdbc:hive2://10.242.189.214:2181/> select timestamp '2018-11-17';