Data set valuation for service providers

    公开(公告)号:US11456885B1

    公开(公告)日:2022-09-27

    申请号:US14973096

    申请日:2015-12-17

    Abstract: Data set valuation techniques are provided. For example, a request is obtained from a client to utilize one or more cloud computing services managed by at least one service provider. A valuation is determined for delivering the one or more requested cloud computing services to the client. The valuation determination includes determining a valuation of one or more data sets associated with the one or more cloud computing services.

    Calculating data value via data protection analytics

    公开(公告)号:US10671483B1

    公开(公告)日:2020-06-02

    申请号:US15136327

    申请日:2016-04-22

    Abstract: A data protection ecosystem-based data valuation methodology includes the following steps. One or more of backup data, metadata, and analytics results maintained by a data protection ecosystem are accessed. The backup data, metadata, and analytics results are obtained during the course of the data protection ecosystem providing data backup and recovery functionalities for a data storage environment that stores one or more data sets. A valuation is calculated for at least one of the one or more data sets of the data storage environment based on at least a portion of the accessed backup data, metadata, and analytics results maintained by the data protection ecosystem.

    Calculating data relevance for valuation

    公开(公告)号:US10210551B1

    公开(公告)日:2019-02-19

    申请号:US15236684

    申请日:2016-08-15

    Inventor: Stephen Todd

    Abstract: A data set is obtained. A set of data relevance scores is calculated for the data set for a set of specific domains associated with an entity. The set of data relevance scores is updated as the relevance of the data set to one or more of the set of specific domains changes over time. A valuation is calculated for the data set based on the set of data relevance scores.

    Database partitioning scheme evaluation and comparison

    公开(公告)号:US09779117B1

    公开(公告)日:2017-10-03

    申请号:US14501531

    申请日:2014-09-30

    CPC classification number: G06F17/30292 H04L41/00 H04L67/10

    Abstract: A database benchmark configuration is selected via an interface. At least one database partitioning scheme from a plurality of database partitioning schemes is selected via the interface. The selected database partitioning scheme is configured through the interface. The selected database partitioning scheme is evaluated based on the configuring step and the selected database benchmark configuration, and evaluation results are generated. A presentation is generated for the interface based on at least a portion of the evaluation results, wherein the presentation is configured to provide at least an indication of a performance of the selected database partitioning scheme given the configuring step and the selected database benchmark configuration.

    Data science project automated outcome prediction

    公开(公告)号:US09710767B1

    公开(公告)日:2017-07-18

    申请号:US14136899

    申请日:2013-12-20

    CPC classification number: G06Q10/063 G06Q10/067

    Abstract: Data generated in accordance with execution of one or more phases of an automated data analytics lifecycle associated with a given data science project is collected. At least a portion of the collected data is analyzed. At least one future outcome associated with the given data science project is predicted based at least in part on the collecting and analyzing steps.

    Privacy scoring for cloud services
    7.
    发明授权
    Privacy scoring for cloud services 有权
    云服务的隐私评分

    公开(公告)号:US09356961B1

    公开(公告)日:2016-05-31

    申请号:US13792679

    申请日:2013-03-11

    CPC classification number: H04L63/20 H04L63/1441

    Abstract: Information processing techniques for generating privacy ratings for services that are available via a cloud infrastructure, e.g., cloud services. For example, a method comprises the following steps. Data indicative of privacy attributable to at least one of a service and a provider of the service accessible in a cloud infrastructure is collected. A privacy rating is generated for at least one of the service and the provider of the service based on at least a portion of the collected data.

    Abstract translation: 用于为通过云基础设施(例如云服务)可用的服务生成隐私等级的信息处理技术。 例如,一种方法包括以下步骤。 收集指示归属于在云基础设施中可访问的服务和服务提供商中的至少一个的隐私的数据。 基于所收集的数据的至少一部分,为服务的服务和服务提供者中的至少一个生成隐私等级。

    DYNAMICALLY COMPOSED COMPUTE NODES COMPRISING DISAGGREGATED COMPONENTS
    8.
    发明申请
    DYNAMICALLY COMPOSED COMPUTE NODES COMPRISING DISAGGREGATED COMPONENTS 审中-公开
    包含DISAGGEGATED COMPONENTS的动态组合电脑

    公开(公告)号:US20150381426A1

    公开(公告)日:2015-12-31

    申请号:US14320069

    申请日:2014-06-30

    CPC classification number: H04L41/0896 G06F9/5077

    Abstract: A method, article of manufacture, and apparatus for creating dynamically composed compute nodes from disaggregated hardware components is discussed. These components may be dynamically allocated from resource pools to the compute nodes.

    Abstract translation: 讨论了从分解的硬件组件创建动态组合的计算节点的方法,制品和装置。 这些组件可以从资源池动态地分配给计算节点。

    Data analytics lifecycle automation
    9.
    发明授权
    Data analytics lifecycle automation 有权
    数据分析生命周期自动化

    公开(公告)号:US09098617B1

    公开(公告)日:2015-08-04

    申请号:US13628589

    申请日:2012-09-27

    Abstract: An initial data analytic plan for analyzing a given data set associated with a given data problem is defined. At least a portion of original data in the given data set is conditioned to generate conditioned data. At least one model is selected to analyze at least one of the original data and the conditioned data. The at least one selected model is executed on at least one of a portion of the original data and a portion of the conditioned data. Results of the model execution are communicated to at least one entity, the results comprising a refined data analytic plan for analyzing the given data set. One or more computing resources are provisioned to implement the refined data analytic plan. The defining, conditioning, selecting, executing, communicating and provisioning steps are performed on one or more processing elements associated with a computing system and automate a data analytics lifecycle.

    Abstract translation: 定义用于分析与给定数据问题相关联的给定数据集的初始数据分析计划。 给定数据集中的原始数据的至少一部分被调节以产生条件数据。 选择至少一个模型来分析原始数据和条件数据中的至少一个。 在原始数据的一部分和条件数据的一部分中的至少一个上执行至少一个所选择的模型。 将模型执行的结果传达给至少一个实体,结果包括用于分析给定数据集的精细数据分析计划。 提供一个或多个计算资源以实现精细数据分析计划。 在与计算系统相关联的一个或多个处理元件上执行定义,调节,选择,执行,通信和配置步骤,并使数据分析生命周期自动化。

    Data value structures
    10.
    发明授权

    公开(公告)号:US10789224B1

    公开(公告)日:2020-09-29

    申请号:US15135817

    申请日:2016-04-22

    Abstract: At least part of an analytic process is executed on one or more data sets. Execution of the analytic process is performed within an analytic computing environment. During the course of execution of the analytic process, a data structure is generated comprising data structure elements. The data structure elements represent attributes associated with execution of the analytic process. Value is assigned to at least a portion of the data structure elements. The data structure generated during execution of the analytic process may be stored in an accessible catalog of other data structures generated during execution of other analytic processes.

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