Dynamic De-Identification of Data
    1.
    发明申请
    Dynamic De-Identification of Data 有权
    动态去识别数据

    公开(公告)号:US20120131481A1

    公开(公告)日:2012-05-24

    申请号:US12951453

    申请日:2010-11-22

    IPC分类号: G06F3/048

    CPC分类号: G06Q10/10 G06F17/30563

    摘要: The present invention relates to a method, computer program product and system for masking sensitive data and, more particularly, to dynamically de-identifying sensitive data from a data source for a target application, including enabling a user to selectively alter an initial de-identification protocol for the sensitive data elements via an interface.

    摘要翻译: 本发明涉及一种用于屏蔽敏感数据的方法,计算机程序产品和系统,更具体地,涉及从目标应用的数据源动态地去识别敏感数据,包括使用户能够选择性地改变初始去标识 通过接口为敏感数据元素提供协议。

    GPU ENABLED DATABASE SYSTEMS
    7.
    发明申请
    GPU ENABLED DATABASE SYSTEMS 有权
    GPU启用数据库系统

    公开(公告)号:US20130141444A1

    公开(公告)日:2013-06-06

    申请号:US13756780

    申请日:2013-02-01

    IPC分类号: G06T3/00

    摘要: Methods for resolving a number of in-memory issues associated with parallel query execution of a database operation on a database utilizing a graphics processing unit (GPU) are presented including: tying a table choice to a number of accesses per second made to a table; and synchronizing threads in a same shared GPU multiprocessor to avoid compromising concurrency, and where the parallel query execution of the database operation is performed solely by the GPU. In some embodiments, methods further include storing data from the GPU to a disk to solve volatility; and enabling a user, at any time, to query the amount of memory being used by the table created by the user to monitor memory consumption.

    摘要翻译: 提供了解决与使用图形处理单元(GPU)的数据库上的数据库操作的并行查询执行相关联的多个内存中问题的方法,包括:将表选择绑定到对表进行的每秒访问次数; 并且在同一共享GPU多处理器中同步线程以避免并发性的并发,并且数据库操作的并行查询执行仅由GPU执行。 在一些实施例中,方法还包括将来自GPU的数据存储到盘以解决波动; 并且使得用户在任何时候能够查询由用户创建的用于监视内存消耗的表使用的内存量。

    Automated data analysis and transformation
    8.
    发明授权
    Automated data analysis and transformation 有权
    自动数据分析和转换

    公开(公告)号:US08577833B2

    公开(公告)日:2013-11-05

    申请号:US13343142

    申请日:2012-01-04

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30563

    摘要: A transformation method and system is provided. The method includes generating a data hub application configured to embed extract, transform, and load (ETL) processes. The data hub application is linked to source tables and target tables. Meta data associated with the source and target tables is transferred from virtual views of the data hub application to an ETL work area of the ETL processes. An ETL job is generated and linked to the data hub application. ETL processes are executed and results are determined.

    摘要翻译: 提供了转换方法和系统。 该方法包括生成被配置为嵌入提取,变换和加载(ETL)过程的数据集线器应用。 数据中心应用程序链接到源表和目标表。 与源表和目标表相关联的元数据从数据中心应用程序的虚拟视图传输到ETL进程的ETL工作区。 生成ETL作业并链接到数据中心应用程序。 执行ETL流程并确定结果。

    GPU ENABLED DATABASE SYSTEMS
    9.
    发明申请
    GPU ENABLED DATABASE SYSTEMS 失效
    GPU启用数据库系统

    公开(公告)号:US20110264626A1

    公开(公告)日:2011-10-27

    申请号:US12765459

    申请日:2010-04-22

    IPC分类号: G06F17/30

    摘要: Methods for parallel query execution of a database operation on a database utilizing a graphics processing unit (GPU) are presented including: receiving query by a host, the query including database relations; starting a GPU kernel, where the GPU kernels include a GPU memory; hash partitioning the database relations by the GPU kernel; loading the partitioned database relations into the GPU memory; loading keyed partitions corresponding the hash partitioned database relations into the GPU memory; building a hash table for a smaller of the hash partitioned database relations; and executing the query. In some embodiments, methods further include returning a result of the query. In some embodiments, methods further include when the query is a long query including a number of operators, parsing the long query into a number of sub-queries; for each of the sub-queries, starting one of the GPU kernels such that the sub-queries are processed in parallel.

    摘要翻译: 提出了使用图形处理单元(GPU)在数据库上并行查询执行数据库操作的方法,包括:主机接收查询,包括数据库关系的查询; 启动GPU内核,GPU内核包含GPU内存; 由GPU内核对数据库关系进行哈希分区; 将分区数据库关系加载到GPU存储器中; 将与哈希分区数据库关系相对应的密钥分区加载到GPU存储器中; 为较小的散列分区数据库关系构建哈希表; 并执行查询。 在一些实施例中,方法还包括返回查询的结果。 在一些实施例中,方法还包括当查询是包括多个运算符的长查询时,将长查询解析成多个子查询; 对于每个子查询,启动一个GPU内核,使得子查询被并行处理。

    AUTOMATED DATA ANALYSIS AND TRANSFORMATION
    10.
    发明申请
    AUTOMATED DATA ANALYSIS AND TRANSFORMATION 有权
    自动数据分析与转换

    公开(公告)号:US20130173529A1

    公开(公告)日:2013-07-04

    申请号:US13343142

    申请日:2012-01-04

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30563

    摘要: A transformation method and system is provided. The method includes generating a data hub application configured to embed extract, transform, and load (ETL) processes. The data hub application is linked to source tables and target tables. Meta data associated with the source and target tables is transferred from virtual views of the data hub application to an ETL work area of the ETL processes. An ETL job is generated and linked to the data hub application. ETL processes are executed and results are determined.

    摘要翻译: 提供了转换方法和系统。 该方法包括生成被配置为嵌入提取,变换和加载(ETL)过程的数据集线器应用。 数据中心应用程序链接到源表和目标表。 与源表和目标表相关联的元数据从数据中心应用程序的虚拟视图传输到ETL进程的ETL工作区。 生成ETL作业并链接到数据中心应用程序。 执行ETL流程并确定结果。