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全部云计算&大数据(22)Apache Kyuubi(22)后端开发(12)区块链(12)

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  • epub文档 FISCO BCOS 1.3 中文文档

    分数,最后大家取平均分作为用户评分。 数据共识:每个节点副本执行pbft/raft共识后上链的数据 业务共识:当3家机构都对用户评级后,用户的信用才会生效 以上,我们归结为“业务共识” 弹性联盟链共识框架方案设计 在定义了业务共识的基础上,我们引入弹性联盟链共识框架方案,即在现有的 共识上添加可以由用户编写的规则来限制共识是否成功。 目前这个功能只用于PBFT,RAFT还未支持。 注:弹性联盟链共识 前的区块链平台大多是不能直接支持的。 “数据导出服务”是一个用于构建“区块链数据仓库”的解决方案,使区块链和已 经为人熟知的关系型数据,分布式数据库,大数据平台进行有机结合。 为区块链设置一个准实时的数据ETL(Extract-Transform-Load)流程,使得链 上一旦新生成区块,就能立刻把相关的区块证明,区块里包含的交易列表、交 易明细、交易结果、智能合约状态数据、链上配置信息等全部导入到链外的数 ,借助数据仓库本身强 大的查询能力、分析能力和数据挖掘能力,可以对区块链上产生的数据进行复 杂的整合和加工,以满足商业智能、监管监控、反洗钱、数据报送等场景的需 求。 数据导出服务里通用的部分如ETL定时任务,区块导出,交易导出,状态数据 导出等,可以由区块链平台提供参考实现,具体到业务数据,如链上的订单数 据,转账数据和交易结果等,则和业务密切相关,需要业务开发者针对具体的 数据结构进行解析
    0 码力 | 491 页 | 5.72 MB | 1 年前
    3
  • epub文档 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 KERBEROS
    0 码力 | 233 页 | 4.62 MB | 1 年前
    3
  • epub文档 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 KERBEROS
    0 码力 | 233 页 | 4.62 MB | 1 年前
    3
  • epub文档 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, its
    0 码力 | 267 页 | 5.80 MB | 1 年前
    3
  • epub文档 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, its
    0 码力 | 267 页 | 5.80 MB | 1 年前
    3
  • epub文档 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, its
    0 码力 | 267 页 | 5.80 MB | 1 年前
    3
  • epub文档 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 Shareability
    0 码力 | 401 页 | 5.25 MB | 1 年前
    3
  • epub文档 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 Shareability
    0 码力 | 404 页 | 5.25 MB | 1 年前
    3
  • epub文档 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 Shareability
    0 码力 | 400 页 | 5.25 MB | 1 年前
    3
  • epub文档 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 Shareability
    0 码力 | 400 页 | 5.25 MB | 1 年前
    3
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