公开(公告)号：US08447721B2

公开(公告)日：2013-05-21

申请号：US13408872

申请日：2012-02-29

申请人： John Glenn Eshleman ,  Benjamin Mark Werther ,  Kevin Scott Beyer ,  Brian F. Babcock ,  Yewei Zhang

发明人： John Glenn Eshleman ,  Benjamin Mark Werther ,  Kevin Scott Beyer ,  Brian F. Babcock ,  Yewei Zhang

IPC分类号： G06F17/30

CPC分类号： G06F17/30563 ,  G06F17/30557 ,  G06Q10/00 ,  G06Q10/067

摘要： Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.

摘要翻译： 示出了根据本发明的实施例的利益驱动的商业智能（BI）系统。 在本发明的一个实施例中，数据处理系统包括包含原始数据的原始数据存储，包含描述原始数据的元数据的元数据存储，以及自动编译以利用原始数据生成报告数据的兴趣驱动数据流水线，其中 基于从至少一个使用元数据定义的报告规范自动导出的报告数据需求来编译兴趣驱动的数据流水线。

公开(公告)号：US20130013552A1

公开(公告)日：2013-01-10

申请号：US13408872

申请日：2012-02-29

申请人： John Glenn Eshleman ,  Benjamin Mark Werther ,  Kevin Scott Beyer ,  Brian F. Babcock ,  Yewei Zhang

发明人： John Glenn Eshleman ,  Benjamin Mark Werther ,  Kevin Scott Beyer ,  Brian F. Babcock ,  Yewei Zhang

IPC分类号： G06F7/00

CPC分类号： G06F17/30563 ,  G06F17/30557 ,  G06Q10/00 ,  G06Q10/067

摘要： Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.

公开(公告)号：US09002907B2

公开(公告)日：2015-04-07

申请号：US12978464

申请日：2010-12-24

申请人： Marcelo San Martin ,  Patricio Echague ,  Amit Sinha ,  Indranath Ghosh ,  Yewei Zhang

发明人： Marcelo San Martin ,  Patricio Echague ,  Amit Sinha ,  Indranath Ghosh ,  Yewei Zhang

IPC分类号： G06F17/30

CPC分类号： G06F17/30486

摘要： A technique for storing binary large objects (BLObs) in a distributed key-value storage system is disclosed. In an embodiment, the storage of BLObs involves dividing the BLObs into smaller “BLOb chunks” and storing the BLOb chunks in storage nodes of the distributed key-value storage system. A BLOb is first associated with a key, referred to as a “BLOb key,” and each subsequent BLOb chunk is associated with a different unique key, referred to as a “BLOb chunk key.” A list of the BLOb chunks keys is maintained and all of the BLOb chunks of the BLOb can be retrieved from the distributed key-value storage system using the BLOb chunks key list.

摘要翻译： 公开了一种用于在分布式键值存储系统中存储二进制大对象（BLOB）的技术。 在一个实施例中，BLOb的存储包括将BLOB分成更小的“BLOb块”，并将BLOb块存储在分布式键值存储系统的存储节点中。 BLOb首先与被称为“BLOb密钥”的密钥相关联，并且每个后续的BLOb块与不同的唯一密钥相关联，称为“BLOb块密钥”。维护BLOb块密钥的列表 并且可以使用BLOb块密钥列表从分布式密钥值存储系统检索BLOb的所有BLOb块。

公开(公告)号：US20120054197A1

公开(公告)日：2012-03-01

申请号：US12978464

申请日：2010-12-24

申请人： Marcelo San Martin ,  Patricio Echague ,  Amit Sinha ,  Indranath Ghosh ,  Yewei Zhang

发明人： Marcelo San Martin ,  Patricio Echague ,  Amit Sinha ,  Indranath Ghosh ,  Yewei Zhang

IPC分类号： G06F17/30

CPC分类号： G06F17/30486

摘要： A technique for storing binary large objects (BLObs) in a distributed key-value storage system is disclosed. In an embodiment, the storage of BLObs involves dividing the BLObs into smaller “BLOb chunks” and storing the BLOb chunks in storage nodes of the distributed key-value storage system. A BLOb is first associated with a key, referred to as a “BLOb key,” and each subsequent BLOb chunk is associated with a different unique key, referred to as a “BLOb chunk key.” A list of the BLOb chunks keys is maintained and all of the BLOb chunks of the BLOb can be retrieved from the distributed key-value storage system using the BLOb chunks key list.

摘要翻译： 公开了一种用于在分布式键值存储系统中存储二进制大对象（BLOB）的技术。 在一个实施例中，BLOb的存储包括将BLOB分成更小的“BLOb块”，并将BLOb块存储在分布式键值存储系统的存储节点中。 BLOb首先与被称为“BLOb密钥”的密钥相关联，并且每个后续的BLOb块与不同的唯一密钥相关联，称为“BLOb块密钥”。维护BLOb块密钥的列表 并且可以使用BLOb块密钥列表从分布式密钥值存储系统检索BLOb的所有BLOb块。