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    • 4. 发明申请
    • BEHAVIORALLY CONSISTENT CLUSTER-WIDE DATA WRANGLING BASED ON LOCALLY PROCESSED SAMPLED DATA
    • 基于本地处理的采样数据进行行为一致的群集数据查询
    • US20160188692A1
    • 2016-06-30
    • US14588022
    • 2014-12-31
    • Michael TsumuraIvailo IvanovViren Suresh Kumar
    • Michael TsumuraIvailo IvanovViren Suresh Kumar
    • G06F17/30H04L29/08
    • G06F17/30598G06F17/30569G06F17/30876G06F17/30896H04L67/10
    • Example embodiments involve a system, computer-readable storage medium storing at least one program, and computer-implemented method for behaviorally consistent data wrangling. A local client device selects a set of raw sample data from a remote datastore. A local execution engine then applies one or more local data wrangling operations to the raw sample data. If the results of the local data wrangling operations are satisfactory, the local data wrangling operations may then be transferred to a remote data wrangling cluster. A remote execution engine being executed by the remote data wrangling cluster then applies the data wrangling operations to the larger set of raw data from which the sample raw data was obtained. As the remote execution engine and the local execution engine are of the same type, the data wrangling behavior exhibited by the local execution engine is reflected in the data wrangling behavior of the remote execution engine.
    • 示例实施例涉及存储至少一个程序的系统,计算机可读存储介质和用于行为上一致的数据争吵的计算机实现的方法。 本地客户端设备从远程数据存储区中选择一组原始样本数据。 然后本地执行引擎将一个或多个本地数据争用操作应用于原始采样数据。 如果本地数据争吵操作的结果令人满意,则可能会将本地数据争吵操作传输到远程数据争吵群集。 由远程数据争用群执行的远程执行引擎将数据争用操作应用于获取样本原始数据的较大原始数据集。 由于远程执行引擎和本地执行引擎是相同类型的,因此本地执行引擎显示的数据争吵行为反映在远程执行引擎的数据争吵行为中。