into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other 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 provides engine authorization CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table storage layer via Hudi, Iceberg, Delta Lake or/and Paimon

into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other 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 provides engine authorization (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. Lakehouse formation and analytics Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. Logical

into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other 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 provides engine authorization (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. Lakehouse formation and analytics Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. Logical

into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other 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 provides engine authorization (Parquet, CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. Lakehouse formation and analytics Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. Logical

into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other 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 provides engine authorization CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake.

into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other 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 provides engine authorization CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake.

into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other 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 provides engine authorization CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake.

into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other 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 provides engine authorization CSV, JSON, text) in your data lake in cloud storage or an on-prem HDFS cluster. • Lakehouse formation and analytics – Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake.

(K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS, with permissions. 3 Kyuubi, Release 1.6.1-incubating 4 Chapter kyuubi_USER_kent_7ad055d0-3eca-4b78-87e8-94b22f3bade9 application ID: local-1635400506190 application web UI: http://10.242.189.214:56774 master: local[*] deploy mode: client version: 3.2.0 Start time: 2021-10-28T13:55:05 associated with this connection is also printed in the operation log. For example, you can get the Spark web UI from the log for debugging or tuning. Execute Flink SQL Statements If the beeline session is successfully

(K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS, with permissions. 3 Kyuubi, Release 1.6.0-incubating 4 Chapter kyuubi_USER_kent_7ad055d0-3eca-4b78-87e8-94b22f3bade9 application ID: local-1635400506190 application web UI: http://10.242.189.214:56774 master: local[*] deploy mode: client version: 3.2.0 Start time: 2021-10-28T13:55:05 associated with this connection is also printed in the operation log. For example, you can get the Spark web UI from the log for debugging or tuning. Execute Flink SQL Statements If the beeline session is successfully