Release 1.6.1-incubating Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject

Release 1.6.0-incubating Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject

HOME Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi 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 can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject

HOME Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi 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 can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject

Release 1.5.0-incubating Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject

Release 1.5.1-incubating Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject

Release 1.5.2-incubating Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject

Kyuubi’s documentation! Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete 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 can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject

Kyuubi’s documentation! Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete 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 can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject

Kyuubi’s documentation! Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete 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 can be done on one platform, using one copy of data before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly, you can create a session for another user(or principal, subject