CDP技术包括两种: Near CDP,就是我们说的准CDP,它的最大特点是只能恢复部分指定时间点的数据(FPIT,Fixed Point In Time),有点类似于存储系统的逻辑快照,它无法恢复任意一个时间点。
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CDP技术包括两种: NearCDP,就是我们说的准CDP,它的最大特点是只能恢复部分指定时间点的数据(FPIT,FixedPointInTime),有点类似于存储系统的逻辑快照,它无法恢复任意一个时间点。
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定时间点的数据 Fixed Point In Time ; FPIT
指定时间点的数据 Fixed Point In Time ; FPIT
时间点的数据 Fixed Point In Time
设置当前结点的数据域 void set value ; void BinaryTreeNode T set value
返回当前结点的数据 T value const
即目标节点的数据处理 Target Site Process
数据点的密度 Density of data points
目标节点的数据处理 Target Site Process
存储在节点中的数据 char data
因此,消息点的数据无法从一个ME传输到另一个ME。
As a result, data of Message Points cannot be transferred from one ME to another.
也许这可以帮助你找到能令你清醒一点的数据灯柱。
Maybe that can help you approach the data lamppost with a bit more sobriety.
你可能还需要比较不同时间点的数据和超出阈值能发送警告。
You'll also benefit from the ability to compare data from different points in time, as well as the ability to send alerts when thresholds are breached.
The good news is the elements in any one spot in a hash table are likely to be a small number, three, four, five.
好的一点是在哈希表中,任何一个存贮点上的元素数据是很小的,三个,四个,五个。
You can see the different points-- I've calculated this using data from 1983 until 2006-- and I computed all of the inputs to those equations that we just saw.
你可以观察不同的点-,我用从1983年到2006年的数据-,代入我们刚教授的等式,进行了计算。
And it's a topic I want to pick up on today, we're going to do for the next few lectures, and it's a topic I want to spend some time on because this idea of capturing data and methods, the term we're going to use for it, but data and functions that belong to that data, things that can be used to manipulate them, is a really powerful one.
我们会在今天讲这个话题,在后面几节课还会讲这个,这是个我愿意花点时间,在上面的话题因为这是个,捕获数据和方法的思想,我们用这个术语来形容它,数据中包括了数据和函数等,能用来操作它们的东西,真的是很强大的工具,我们真正要讲的东西是,我们要学会如何把信息。
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