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公开(公告)号：US10162876B1
公开(公告)日：2018-12-25
申请号：US14973629
申请日：2015-12-17
Applicant: Amazon Technologies, Inc.
Inventor： Srinivasan Sundar Raghavan , Swaminathan Sivasubramanian , Timothy Andrew Rath , Mukul Vijay Karnik , Amol Devgan , Santosh Kalki
Abstract: An analytics module may be embedded into an application developed, published, or used by an entity in addition to the owner of the data under analysis. An access token may be submitted by the analytics module to a provider of hosted services. The access token may correspond to an n-dimensional cube containing data at a level of granularity permitted to the application. The access token may incorporate additional policies controlling access to the corresponding n-dimensional cube.
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公开(公告)号：US20160179921A1
公开(公告)日：2016-06-23
申请号：US14578786
申请日：2014-12-22
Applicant: Amazon Technologies, Inc.
IPC: G06F17/30
Abstract: A corpus of information describing queries used to access a transactional data store may be used to identify analytical relationships that are not explicitly defined in a schema or supplied by a user. Join relationships may be identified based on field coincidence in elements of queries in the corpus. Join relationships may be indicative of dimensions and attributes of a dimension. Hierarchy levels for a dimension may be identified based on factors including data type, reference in an aggregating clause, and reference in a grouping clause.
Abstract translation: 描述用于访问事务数据存储的查询的信息语料库可用于识别在模式中未明确定义或由用户提供的分析关系。 可以基于语料库中的查询元素中的字段重合来识别加入关系。 连接关系可以表示维度的维度和属性。 可以基于包括数据类型，聚合子句中的引用和分组子句中的引用的因素来标识维的层次结构级别。
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公开(公告)号：US20150370883A1
公开(公告)日：2015-12-24
申请号：US14494524
申请日：2014-09-23
Applicant: Amazon Technologies, Inc.
Inventor： Santosh Kalki , Srinivasan Sundar Raghavan , Timothy Andrew Rath , Mukul Vijay Karnik , Amol Devgan , Swaminathan Sivasubramanian
IPC: G06F17/30
Abstract: An online analytical processing system may comprise an n-dimensional cube partitioned into slices, in which each slice may represent data points at the intersections of fixed and variable dimensions. Computation of data points within a slice may be deferred. A dependency graph may be initially constructed, in which the dependency graph is utilized in a subsequent computation. Calculation of data points may be prioritized based on information indicative of a chance that the data points will be accessed.
Abstract translation: 在线分析处理系统可以包括分割成切片的n维立方体，其中每个切片可以表示固定和可变维度的交点处的数据点。 切片内数据点的计算可能会延迟。 可以最初构建依赖图，其中在随后的计算中使用依赖图。 可以基于指示将访问数据点的机会的信息来优先考虑数据点的计算。
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公开(公告)号：US20150370882A1
公开(公告)日：2015-12-24
申请号：US14494513
申请日：2014-09-23
Applicant: Amazon Technologies, Inc.
Inventor： Santosh Kalki , Srinivasan Sundar Raghavan , Mukul Vijay Karnik , Timothy Andrew Rath , Amol Devgan , Swaminathan Sivasubramanian
IPC: G06F17/30
Abstract: An online analytical processing system may comprise an n-dimensional cube structured using slice-based partitioning in which each slice comprises data points corresponding to a set of dimension values fixed across the slice and a set of dimension values allowed to vary. Slices may be partitioned and replicated across computing nodes. Views of the n-dimensional cube may be partially materialized by determining dependencies between slices. A central data dictionary may maintain information about slices and slice dependencies. Dimensions may be added by adding a new slice without requiring immediate recomputation of existing data points.
Abstract translation: 在线分析处理系统可以包括使用基于片段的分区结构的n维立方体，其中每个切片包括对应于跨越切片固定的一组维度值的数据点和允许变化的一组维度值。 切片可以跨计算节点进行分区和复制。 可以通过确定切片之间的依赖性来部分地实现n维立方体的视图。 中央数据字典可以维护有关切片和切片依赖关系的信息。 可以通过添加新切片而不需要立即重新计算现有数据点来添加尺寸。
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公开(公告)号：US20150370872A1
公开(公告)日：2015-12-24
申请号：US14494413
申请日：2014-09-23
Applicant: Amazon Technologies, Inc.
Inventor： Srinivasan Sundar Raghavan , Swaminathan Sivasubramanian , Timothy Andrew Rath , Mukul Vijay Karnik , Amol Devgan , Santosh Kalki
CPC classification number: G06F17/30592 , G06F17/30221 , G06F17/30386 , G06F17/30572 , G06F17/30584 , G06F17/30589 , G06F17/30961 , G06F21/6236 , H04L63/10
Abstract: An analytics module may be embedded into an application developed, published, or used by an entity in addition to the owner of the data under analysis. An access token may be submitted by the analytics module to a provider of hosted services. The access token may correspond to an n-dimensional cube containing data at a level of granularity permitted to the application. The access token may incorporate additional policies controlling access to the corresponding n-dimensional cube.
Abstract translation: 除了被分析数据的所有者之外，分析模块可能嵌入到由实体开发，发布或使用的应用程序中。 访问令牌可能由分析模块提交给托管服务提供商。 访问令牌可以对应于包含以应用程序允许的粒度级别的数据的n维多维数据集。 访问令牌可以包含控制对相应的n维立方体的访问的附加策略。
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Patent Agency Ranking
公开(公告)号：US11868372B1
公开(公告)日：2024-01-09
申请号：US14503235
申请日：2014-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Santosh Kalki , Swaminathan Sivasubramanian , Srinivasan Sundar Raghavan , Timothy Andrew Rath , Amol Devgan , Mukul Vijay Karnik
IPC: G06F16/28
CPC classification number: G06F16/283
Abstract: A platform for data analytics may be provided in a hosted environment on a multi-tenant system. The platform provider may also provide transactional processing services. Data obtained from processing the transactional services may be stored in an n-dimensional cube with which analytics may be performed. A dimension and hierarchy model may be identified based on correlations between hierarchy dimensions and levels in a dataset, or in schema and queries related to the dataset. Correlations may be further based on data received from a data stream. Priority for calculating a hierarchy may be based on data received from a data stream.
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公开(公告)号：US11475002B1
公开(公告)日：2022-10-18
申请号：US16446279
申请日：2019-06-19
Applicant: Amazon Technologies, Inc.
Inventor： Srinivasan Sundar Raghavan , Daniel Micol-Ponce , Noelia Moron , Hersh Nagar , Jaime Vallori , Vamsi Krishna Vutukuru
IPC: G06F16/00 , G06F16/2453 , G06N20/00 , G06F16/2455
Abstract: Devices and techniques are generally described for dynamic policy determination using machine learning. In some examples, first goal data may be received. A first machine learning model may generate a first computer-executable policy based at least in part on the first goal data. In some examples, a first search query may be received. In various examples, the first search query may be modified by the first computer-executable policy to generate a modified search query. In some examples, first feedback data related to user interaction with search results of the modified search query may be determined. In various examples, at least one parameter of the first machine learning model may be updated based at least in part on the first feedback data to generate a second machine learning model.
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公开(公告)号：US11423451B1
公开(公告)日：2022-08-23
申请号：US16573939
申请日：2019-09-17
Applicant: Amazon Technologies, Inc.
Inventor： Vijay Chaudhari , Hersh Nagar , Douglas Scott Cerny , Stephanie Weeks , Srinivasan Sundar Raghavan , Vijaya Prasad Reddy Avula
IPC: G06Q30/00 , G06Q30/06 , G06N20/00 , G06F16/638
Abstract: Devices and techniques are generally described for a speech processing procurement system. In various examples, recommendations may be provided by back-end systems. The recommendations may be ranked by a machine learning model, and may be sorted and filtered for a particular output device. Various voice guidance workflows may be invoked through user interaction with a speech processing procurement system. The workflows may be used to surface pre-recorded voice memos and/or to determine recommendations based on dynamically updated procurement policies.
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公开(公告)号：US10769175B1
公开(公告)日：2020-09-08
申请号：US14503102
申请日：2014-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Santosh Kalki , Swaminathan Sivasubramanian , Srinivasan Sundar Raghavan , Timothy Andrew Rath , Amol Devgan , Mukul Vijay Karnik
Abstract: A hosted analytics system may be integrated with transactional data systems and additional data sources such real-time systems and log files. A data processing pipeline may transform data on arrival for incorporation into an n-dimensional cube. Correlation between patterns of events in transactional data may be identified. Upon arrival, new data may be transformed and incorporated into the n-dimensional cube. Similarity between the new data and a previously identified correlation may be determined and flagged.
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公开(公告)号：US20160179894A1
公开(公告)日：2016-06-23
申请号：US14578841
申请日：2014-12-22
Applicant: Amazon Technologies, Inc.
IPC: G06F17/30
CPC classification number: G06F17/30498 , G06F17/30581
Abstract: A probabilistic counting structure such as a hyperloglog may be formed during a table scan for each of a selected set of columns. The columns may be selected based on an initial estimate of relatedness, which may be based on data types of the respective columns. An estimated cardinality of an intersection or union of columns may be formed based on an intersection of the probabilistic data structures. A join path may be determined based on the estimated cardinality of an intersection or union of the columns.
Abstract translation: 对于所选择的列中的每一列，可以在表扫描期间形成诸如超文本记录之类的概率计数结构。 可以基于相关性的初始估计来选择列，其可以基于相应列的数据类型。 可以基于概率数据结构的交集来形成交点或列的并集的估计基数。 可以基于交叉点或列的并集的估计基数来确定连接路径。
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