阿里云 AnalyticDB for PostgreSQL - 打造更简单易用的Cloud SQL Data Warehouse 个人介绍 缪长风 ⚫ 2010年初加入支付宝，负责Oracle RAC和Greenplum数据仓库 ⚫ 有幸参与了Oracle RAC到 Greenplum再到Hadoop以及最终到 ODPS的架构演进工作。 ⚫ 2012年起，转至阿里巴巴大数据团队，负责Hbase/OTS业务支

Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. • Logical data warehouse – Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to 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 availability. The data could for better support. The behaviors of the original hive jdbc have remained. To access a Hive data warehouse or new lakehouse formats, such as Apache Iceberg/Hudi, delta lake using the kyuubi jdbc driver for

Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. • Logical data warehouse – Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to 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 availability. The data could for better support. The behaviors of the original hive jdbc have remained. To access a Hive data warehouse or new lakehouse formats, such as Apache Iceberg/Hudi, delta lake using the kyuubi jdbc driver for

Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. • Logical data warehouse – Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to 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 availability. The data could for better support. The behaviors of the original hive jdbc have remained. To access a Hive data warehouse or new lakehouse formats, such as Apache Iceberg/Hudi, delta lake using the kyuubi jdbc driver for

Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. • Logical data warehouse – Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to 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 availability. The data could better support. The behaviors of the original Hive JDBC driver have remained. To access a Hive data warehouse or new Lakehouse formats, such as Apache Iceberg/Hudi, Delta Lake using the Kyuubi JDBC driver for

Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. • Logical data warehouse – Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to 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 availability. The data could better support. The behaviors of the original Hive JDBC driver have remained. To access a Hive data warehouse or new Lakehouse formats, such as Apache Iceberg/Hudi, Delta Lake using the Kyuubi JDBC driver for

Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. • Logical data warehouse – Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to 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 availability. The data could better support. The behaviors of the original Hive JDBC driver have remained. To access a Hive data warehouse or new Lakehouse formats, such as Apache Iceberg/Hudi, Delta Lake using the Kyuubi JDBC driver for

Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. • Logical data warehouse – Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to 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 availability. The data could better support. The behaviors of the original Hive JDBC driver have remained. To access a Hive data warehouse or new Lakehouse formats, such as Apache Iceberg/Hudi, Delta Lake using the Kyuubi JDBC driver for

Easily build an ACID table storage layer via Hudi, Iceberg, or/and Delta Lake. • Logical data warehouse – Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to 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 availability. The data could better support. The behaviors of the original Hive JDBC driver have remained. To access a Hive data warehouse or new Lakehouse formats, such as Apache Iceberg/Hudi, Delta Lake using the Kyuubi JDBC driver for

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