SAAS NETWORK-BASED BACKUP SYSTEM
    1.
    发明申请
    SAAS NETWORK-BASED BACKUP SYSTEM 有权
    基于SAAS网络的备份系统

    公开(公告)号:US20160065651A1

    公开(公告)日:2016-03-03

    申请号:US14936503

    申请日:2015-11-09

    CPC classification number: H04L67/06 G06F11/1448 H04L67/2852

    Abstract: A system fetches consistent datasets in batches for a given period of time and provides the ability to retrieve each batch. Batches of data may be fetched for an interval of time. The present system may fetch new or changed data from different cloud/on-premise applications. It will store this data in the cloud or on-premise to build data history. As the system fetches new data, existing batches of data will not be overwritten. New batches of data are created as new versions so that change history is preserved. Past batches of data for a past time period may be provided to one or more tenants.

    Abstract translation: 系统在给定的时间内批量获取一致的数据集,并提供检索每个批次的能力。 可能会在一段时间内获取批量的数据。 本系统可以从不同的云/室内应用获取新的或更改的数据。 它会将这些数据存储在云端或内部,以构建数据历史记录。 当系统获取新数据时,现有批次的数据将不会被覆盖。 创建新批次的数据作为新版本,以便保留更改历史记录。 过去时间段的过去批次的数据可以提供给一个或多个租户。

    DATA CONSISTENCY AND ROLLBACK FOR CLOUD ANALYTICS
    2.
    发明申请
    DATA CONSISTENCY AND ROLLBACK FOR CLOUD ANALYTICS 有权
    数据一致性和云的分析

    公开(公告)号:US20160085794A1

    公开(公告)日:2016-03-24

    申请号:US14862007

    申请日:2015-09-22

    CPC classification number: G06F17/30371 G06F11/1469 G06F17/30563 G06F2201/80

    Abstract: An extract-transform-load (ETL) platform fetches consistent datasets in a batch for a given period of time and provides the ability to rollback that batch. The batch may be fetched for an interval of time, and the ETL platform may fetch new or changed data from different cloud/on-premise applications. It will store this data in the cloud or on-premise to build data history. As the ETL platform fetches new data, the system will not overwrite existing data, but rather will create new versions so that change history is preserved. For any reason, if businesses would like to rollback data, they could rollback to any previous batch.

    Abstract translation: 提取变换加载(ETL)平台在给定的时间段内获取批量中的一致数据集,并提供回滚该批次的能力。 该批次可能会获取一段时间,ETL平台可能会从不同的云/本地应用程序获取新的或更改的数据。 它会将这些数据存储在云端或内部,以构建数据历史记录。 当ETL平台获取新数据时,系统将不会覆盖现有数据,而是创建新版本,以便保留更改历史记录。 由于任何原因,如果企业想要回滚数据,他们可以回滚到任何之前的批次。

    SAAS NETWORK-BASED BACKUP SYSTEM
    3.
    发明申请

    公开(公告)号:US20170257420A1

    公开(公告)日:2017-09-07

    申请号:US15391646

    申请日:2016-12-27

    CPC classification number: H04L67/06 G06F11/1448 H04L67/2852

    Abstract: A system fetches consistent datasets in batches for a given period of time and provides the ability to retrieve each batch. Batches of data may be fetched for an interval of time. The present system may fetch new or changed data from different cloud/on-premise applications. It will store this data in the cloud or on-premise to build data history. As the system fetches new data, existing batches of data will not be overwritten. New batches of data are created as new versions so that change history is preserved. Past batches of data for a past time period may be provided to one or more tenants.

    SAAS network-based backup system
    4.
    发明授权

    公开(公告)号:US10033796B2

    公开(公告)日:2018-07-24

    申请号:US15391646

    申请日:2016-12-27

    Abstract: A system fetches consistent datasets in batches for a given period of time and provides the ability to retrieve each batch. Batches of data may be fetched for an interval of time. The present system may fetch new or changed data from different cloud/on-premise applications. It will store this data in the cloud or on-premise to build data history. As the system fetches new data, existing batches of data will not be overwritten. New batches of data are created as new versions so that change history is preserved. Past batches of data for a past time period may be provided to one or more tenants.

    Data consistency and rollback for cloud analytics

    公开(公告)号:US09646042B2

    公开(公告)日:2017-05-09

    申请号:US14862007

    申请日:2015-09-22

    CPC classification number: G06F17/30371 G06F11/1469 G06F17/30563 G06F2201/80

    Abstract: An extract-transform-load (ETL) platform fetches consistent datasets in a batch for a given period of time and provides the ability to rollback that batch. The batch may be fetched for an interval of time, and the ETL platform may fetch new or changed data from different cloud/on-premise applications. It will store this data in the cloud or on-premise to build data history. As the ETL platform fetches new data, the system will not overwrite existing data, but rather will create new versions so that change history is preserved. For any reason, if businesses would like to rollback data, they could rollback to any previous batch.

    SAAS network-based backup system
    6.
    发明授权

    公开(公告)号:US09531790B2

    公开(公告)日:2016-12-27

    申请号:US14936503

    申请日:2015-11-09

    CPC classification number: H04L67/06 G06F11/1448 H04L67/2852

    Abstract: A system fetches consistent datasets in batches for a given period of time and provides the ability to retrieve each batch. Batches of data may be fetched for an interval of time. The present system may fetch new or changed data from different cloud/on-premise applications. It will store this data in the cloud or on-premise to build data history. As the system fetches new data, existing batches of data will not be overwritten. New batches of data are created as new versions so that change history is preserved. Past batches of data for a past time period may be provided to one or more tenants.

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