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Scalable cloud-based time series analysis

机译:可扩展的基于云的时间序列分析

摘要

In some examples, computing devices can partition timestamped data into groups. The computing devices can then distribute the timestamped data based on the groups. The computing devices can also obtain copies of a script configured to process the timestamped data, such that each computing device receives a copy of the script. The computing devices can determine one or more code segments associated with the groups based on content of the script. The one or more code segments can be in one or more programming languages that are different than a programming language of the script. The computing devices can then run the copies of the script to process the timestamped data within the groups. This may involve interacting with one or more job servers configured to run the one or more code segments associated with the groups.
机译:在一些示例中,计算设备可以将带有时间戳的数据划分为组。然后,计算设备可以基于组分配带时间戳的数据。计算设备还可以获得被配置为处理带时间戳的数据的脚本的副本,以使得每个计算设备都接收脚本的副本。计算设备可以基于脚本的内容确定与这些组相关联的一个或多个代码段。一个或多个代码段可以采用与脚本的编程语言不同的一种或多种编程语言。然后,计算设备可以运行脚本的副本以处理组中带有时间戳的数据。这可能涉及与配置为运行与组关联的一个或多个代码段的一个或多个作业服务器进行交互。

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