High performance big data computing system and platform

    公开(公告)号:US10387414B2

    公开(公告)日:2019-08-20

    申请号:US15097233

    申请日:2016-04-12

    摘要: A computing system and platform uses various types of data stores to allow efficient querying of, and accelerated access to, extremely large data sets. One such data store is a dimension store that combines key-value and columnar stores, access to which is provided by several selectable mechanisms chosen based the nature of the data of interest. These include bitmap-based access, us of an optimized columnar data format, and access via namespace identifiers. A compressed, optimized page data format is provided for storing and analyzing large fact-based data. The complex dimension store is used to provide complex relationships and interpretation of the fact-based data, enabling high-performance advanced queries, with bitmap indexes passed between the two stores. Dimension data is stored in an encrypted manner throughout the system, and can be exchanged among parties in a secure manner.

    HIGH PERFORMANCE BIG DATA COMPUTING SYSTEM AND PLATFORM
    2.
    发明申请
    HIGH PERFORMANCE BIG DATA COMPUTING SYSTEM AND PLATFORM 审中-公开
    高性能大数据计算系统和平台

    公开(公告)号:US20160299944A1

    公开(公告)日:2016-10-13

    申请号:US15097233

    申请日:2016-04-12

    IPC分类号: G06F17/30

    摘要: A computing system and platform uses various types of data stores to allow efficient querying of, and accelerated access to, extremely large data sets. One such data store is a dimension store that combines key-value and columnar stores, access to which is provided by several selectable mechanisms chosen based the nature of the data of interest. These include bitmap-based access, us of an optimized columnar data format, and access via namespace identifiers. A compressed, optimized page data format is provided for storing and analyzing large fact-based data. The complex dimension store is used to provide complex relationships and interpretation of the fact-based data, enabling high-performance advanced queries, with bitmap indexes passed between the two stores. Dimension data is stored in an encrypted manner throughout the system, and can be exchanged among parties in a secure manner.

    摘要翻译: 计算系统和平台使用各种类型的数据存储来允许对极大数据集的高效查询和加速访问。 一个这样的数据存储是组合键值和柱状存储的维度存储,其访问由基于感兴趣的数据的性质选择的若干可选择机制提供。 这些包括基于位图的访问,优化的柱状数据格式的我们以及通过命名空间标识符的访问。 提供压缩,优化的页面数据格式用于存储和分析大型基于事实的数据。 复杂维度存储用于提供基于事实的数据的复杂关系和解释,从而实现高性能高级查询,并在两个存储之间传递位图索引。 维度数据以整个系统的加密方式存储,并且可以以安全的方式在各方之间交换。