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    Statistical data quality determination for storage systems
    21.
    发明授权
    Statistical data quality determination for storage systems 有权
    存储系统的统计数据质量确定

    公开(公告)号：US09158805B1

    公开(公告)日：2015-10-13

    申请号：US13796361

    申请日：2013-03-12

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： Santosh Kalki ,  Adam Stephen Duncan ,  Jenny Bandy Freshwater

    IPC: G06F17/30

    CPC classification number: G06F17/30371

    Abstract: Techniques are described for enabling or suspending access to one or more datastores based on a determined quality of the stored data. The datastores may use relational or non-relational formats. User-specified rules may be applied to statistically determine the data quality of at least a portion of the data in the datastore. The rules may perform statistical tests on the data, such as determining whether an amount of stored data is within a margin of a historical average, whether a number of records storing particular data is within a historical average, and so forth. Based on the rules, a flag may be set to indicate the determined data quality. Access to the data may be based on the value of the flag.

    Abstract translation: 描述了基于所确定的存储数据质量来启用或暂停对一个或多个数据存储区的访问的技术。 数据存储可以使用关系或非关系格式。 可以应用用户指定的规则以统计地确定数据存储区中的至少一部分数据的数据质量。 规则可以对数据执行统计测试，例如确定存储的数据量是否在历史平均值的边缘内，存储特定数据的记录数是否在历史平均值内，等等。 基于规则，可以设置标志来指示所确定的数据质量。 对数据的访问可以基于标志的值。

    Anomaly detection with missing values and forecasting data streams
    23.
    发明授权
    Anomaly detection with missing values and forecasting data streams 有权

    公开(公告)号：US10972491B1

    公开(公告)日：2021-04-06

    申请号：US15977670

    申请日：2018-05-11

    Applicant: Amazon Technologies, Inc.

    Inventor： Sudipto Guha ,  Santosh Kalki ,  Akshay Satish

    IPC: H04L29/06 ,  H04L12/26 ,  G06F9/455 ,  H04L12/46

    Abstract: Techniques for seasonality-based anomaly detection and forecast are described. For example, a method of receiving a request to generate forecast for received time series data; performing a seasonality-based anomaly detection and forecast for the received time series data based upon the received request, the seasonality-based anomaly detection and forecasting to utilize a second data structure that reflect anomalies found in a first data structure on the input from the received time series data; and providing a result of the performed seasonality-based anomaly detection and forecast is described.

    Data retrieval from datastores with different data storage formats
    28.
    发明授权
    Data retrieval from datastores with different data storage formats 有权

    公开(公告)号：US09740738B1

    公开(公告)日：2017-08-22

    申请号：US14963095

    申请日：2015-12-08

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： Santosh Kalki

    IPC: G06F17/30 ,  G06F3/0482

    CPC classification number: G06F17/30463 ,  G06F3/0482 ,  G06F17/30389 ,  G06F17/30392 ,  G06F17/30442 ,  G06F17/30569

    Abstract: A request that includes a syntax tree is received. A query plan that comprising one or more queries using storage metadata and one or more data attributes obtained from the syntax tree is generated. Individual ones of the one or more queries are used to retrieve at least one of the one or more data attributes from the at least two datastores. The generating of the query plan is generated by modifying individual ones of the one or more queries to access a datastore of the at least two datastores having a lower data retrieval latency. The one or more queries of the query plan are executed to generate the report, the report including data resulting from the executing of the one or more queries.

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