other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads LICENSE, VERSION 2.0 [https://www.apache.org/licenses/LICENSE-2.0] we claim to obey. RELEASE: the build information of this package. NOTICE: the notice made by Apache Kyuubi Community about its project java -version java version "1.8.0_251" Java(TM) SE Runtime Environment (build 1.8.0_251-b08) Java HotSpot(TM) 64-Bit Server VM (build 25.251-b08, mixed mode) Or, export JAVA_HOME=/path/to/java in the local

other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads LICENSE, VERSION 2.0 [https://www.apache.org/licenses/LICENSE-2.0] we claim to obey. RELEASE: the build information of this package. NOTICE: the notice made by Apache Kyuubi Community about its project java -version java version "1.8.0_251" Java(TM) SE Runtime Environment (build 1.8.0_251-b08) Java HotSpot(TM) 64-Bit Server VM (build 25.251-b08, mixed mode) Or, export JAVA_HOME=/path/to/java in the local

a 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 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 data warehouse – Provide sheet can be used individually or all together. For example, you can use Kyuubi, Spark and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high

a 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 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 data warehouse – Provide sheet can be used individually or all together. For example, you can use Kyuubi, Spark and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high

a 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 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 data warehouse – Provide sheet can be used individually or all together. For example, you can use Kyuubi, Spark and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high

a 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 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 data warehouse – Provide sheet can be used individually or all together. For example, you can use Kyuubi, Spark and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high

a 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 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 data warehouse – Provide sheet can be used individually or all together. For example, you can use Kyuubi, Spark and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high

a 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 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 data warehouse – Provide sheet can be used individually or all together. For example, you can use Kyuubi, Spark and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high

a 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 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 data warehouse – Provide sheet can be used individually or all together. For example, you can use Kyuubi, Spark and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high

a 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 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 data warehouse – Provide sheet can be used individually or all together. For example, you can use Kyuubi, Spark and Flink to build a streaming data warehouse. And then, you can use Zookeeper to enable the load balancing for high