Kyuubi Release 1.3.0 Kent Yao Sep 15, 2021 USAGE GUIDE 1 Multi-tenancy 3 2 Ease of Use 5 3 Run Anywhere 7 4 High Performance 9 5 Authentication & Authorization 11 6 High Availability 13 6.1 hierarchies shown in the above figure, with each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive Beeline, HUE, DBeaver, SQuirreL SQL Client, etc, to operate with

Kyuubi Release 1.3.0 Kent Yao Oct 27, 2021 USAGE GUIDE 1 Multi-tenancy 3 2 Ease of Use 5 3 Run Anywhere 7 4 High Performance 9 5 Authentication & Authorization 11 6 High Availability 13 6.1 hierarchies shown in the above figure, with each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive Beeline, HUE, DBeaver, SQuirreL SQL Client, etc, to operate with

hierarchies shown in the above figure, with each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive Beeline, HUE [https://gethue.com/], DBeaver [https://dbeaver.io/] apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC)

hierarchies shown in the above figure, with each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive Beeline, HUE [https://gethue.com/], DBeaver [https://dbeaver.io/] apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC)

Kyuubi Release 1.4.1-incubating Kent Yao Feb 07, 2022 USAGE GUIDE 1 Multi-tenancy 3 2 Ease of Use 5 3 Run Anywhere 7 4 High Performance 9 5 Authentication & Authorization 11 6 High Availability hierarchies shown in the above figure, with each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive Beeline, HUE, DBeaver, SQuirreL SQL Client, etc, to operate with

Kyuubi Release 1.3.0 Kent Yao Nov 23, 2021 USAGE GUIDE 1 Multi-tenancy 3 2 Ease of Use 5 3 Run Anywhere 7 4 High Performance 9 5 Authentication & Authorization 11 6 High Availability 13 6.1 hierarchies shown in the above figure, with each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive Beeline, HUE, DBeaver, SQuirreL SQL Client, etc, to operate with

. . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 Serverless SQL and More 5 2.1 Ease of Use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 child’s play to combine some of the components above to build a modern data stack. For example, you can use Kyuubi, Spark and Iceberg to build and manage Data Lakehouse with pure SQL for both data processing processing with any the Kyuubi engine they need. 1.1 Application Programming Interface End users can use the application programming interface listed below for connectivity and interoperation between supported

. . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 Serverless SQL and More 5 2.1 Ease of Use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 child’s play to combine some of the components above to build a modern data stack. For example, you can use Kyuubi, Spark and Iceberg to build and manage Data Lakehouse with pure SQL for both data processing processing with any the Kyuubi engine they need. 1.1 Application Programming Interface End users can use the application programming interface listed below for connectivity and interoperation between supported

. . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 Serverless SQL and More 5 2.1 Ease of Use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 child’s play to combine some of the components above to build a modern data stack. For example, you can use Kyuubi, Spark and Iceberg to build and manage Data Lakehouse with pure SQL for both data processing processing with any the Kyuubi engine they need. 1.1 Application Programming Interface End users can use the application programming interface listed below for connectivity and interoperation between supported

. . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 Serverless SQL and More 5 2.1 Ease of Use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 child’s play to combine some of the components above to build a modern data stack. For example, you can use Kyuubi, Spark and Iceberg to build and manage Data Lakehouse with pure SQL for both data processing processing with any the Kyuubi engine they need. 1.1 Application Programming Interface End users can use the application programming interface listed below for connectivity and interoperation between supported