Apache Kyuubi 1.4.1 Documentation[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, with one engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium GROUP One engine per primary group Ad hoc Small-scale ETL Low High SERVER One engine able to leverage engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. Kyuubi Security Overview 1. Authentication 1.1. Using KERBEROS0 码力 | 233 页 | 4.62 MB | 1 年前3
 Apache Kyuubi 1.4.0 Documentation[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, with one engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium GROUP One engine per primary group Ad hoc Small-scale ETL Low High SERVER One engine able to leverage engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. Kyuubi Security Overview 1. Authentication 1.1. Using KERBEROS0 码力 | 233 页 | 4.62 MB | 1 年前3
 Apache Kyuubi 1.5.1 Documentation[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, with one engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium GROUP One engine per primary group Ad hoc Small-scale ETL Low High SERVER One engine able to leverage engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. 4. The TTL Of Kyuubi Engines For a multi-tenant cluster, its0 码力 | 267 页 | 5.80 MB | 1 年前3
 Apache Kyuubi 1.5.2 Documentation[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, with one engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium GROUP One engine per primary group Ad hoc Small-scale ETL Low High SERVER One engine able to leverage engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. 4. The TTL Of Kyuubi Engines For a multi-tenant cluster, its0 码力 | 267 页 | 5.80 MB | 1 年前3
 Apache Kyuubi 1.5.0 Documentation[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, with one engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium GROUP One engine per primary group Ad hoc Small-scale ETL Low High SERVER One engine able to leverage engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. 4. The TTL Of Kyuubi Engines For a multi-tenant cluster, its0 码力 | 267 页 | 5.80 MB | 1 年前3
 Apache Kyuubi 1.7.1-rc0 Documentation[https://iceberg.apache.org/] to build and manage Data Lakehouse with pure SQL for both data processing, e.g. ETL, and online analytics processing(OLAP), e.g. BI. All workloads can be done on one platform, using one Delta Lake. Logical data warehouse Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to connecting. Run Anywhere at Any Scale Most of the Kyuubi engine types have Degree Shareability CONNECTION One engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium Share Level Syntax Scenario Isolation Degree Shareability0 码力 | 401 页 | 5.25 MB | 1 年前3
 Apache Kyuubi 1.7.0-rc0 Documentation[https://iceberg.apache.org/] to build and manage Data Lakehouse with pure SQL for both data processing, e.g. ETL, and online analytics processing(OLAP), e.g. BI. All workloads can be done on one platform, using one Delta Lake. Logical data warehouse Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to connecting. Run Anywhere at Any Scale Most of the Kyuubi engine types have Degree Shareability CONNECTION One engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium Share Level Syntax Scenario Isolation Degree Shareability0 码力 | 404 页 | 5.25 MB | 1 年前3
 Apache Kyuubi 1.7.0 Documentation[https://iceberg.apache.org/] to build and manage Data Lakehouse with pure SQL for both data processing, e.g. ETL, and online analytics processing(OLAP), e.g. BI. All workloads can be done on one platform, using one Delta Lake. Logical data warehouse Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to connecting. Run Anywhere at Any Scale Most of the Kyuubi engine types have Degree Shareability CONNECTION One engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium Share Level Syntax Scenario Isolation Degree Shareability0 码力 | 400 页 | 5.25 MB | 1 年前3
 Apache Kyuubi 1.7.0-rc1 Documentation[https://iceberg.apache.org/] to build and manage Data Lakehouse with pure SQL for both data processing, e.g. ETL, and online analytics processing(OLAP), e.g. BI. All workloads can be done on one platform, using one Delta Lake. Logical data warehouse Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to connecting. Run Anywhere at Any Scale Most of the Kyuubi engine types have Degree Shareability CONNECTION One engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium Share Level Syntax Scenario Isolation Degree Shareability0 码力 | 400 页 | 5.25 MB | 1 年前3
 Apache Kyuubi 1.7.2-rc0 Documentation[https://iceberg.apache.org/] to build and manage Data Lakehouse with pure SQL for both data processing, e.g. ETL, and online analytics processing(OLAP), e.g. BI. All workloads can be done on one platform, using one Delta Lake. Logical data warehouse Provide a relational abstraction on top of disparate data without ETL jobs, from collecting to connecting. Run Anywhere at Any Scale Most of the Kyuubi engine types have Degree Shareability CONNECTION One engine per session Large-scale ETL Ad hoc High Low USER One engine per user Ad hoc Small-scale ETL Medium Medium Share Level Syntax Scenario Isolation Degree Shareability0 码力 | 405 页 | 5.26 MB | 1 年前3
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