Examples of using Data value in English and their translations into Chinese
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Customer Data Value.
X data value for each observation.
The big question: finding big data value.
Every data value in MySQL has a type.
This is a new challenge for data value mining workers.
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Every data value belongs to some data type.
The variable in C is nothing but a name given to a data value.
How to find data value, this is target of data analysis.
For some subroutines, that task is to compute or retrieve some data value.
The data value you want to use to decide which piece of dynamic text to display.
And Yonghong Tech facilitates you to release data value speedily and flexibly.
Streams only need to provide basic data such as name,description and a method for retrieving numeric data value.
And Yonghong Tech facilitates you to release data value speedily and flexibly.
Increasing data value- Thanks to the rise of big data analytics, organizations are more aware than ever of the value of their data. .
Have to use the other option from chapter 3: return a(smart)pointer to the data value.
At the other extreme, if each data value occurs only once, then there is no mode.
That's difficult if, for instance,all the data is captured upstream in the data value chain.
At the other extreme, if each data value occurs only once, then there is no mode.
Another significant issue in data integration is the discovery andresolution of data value conflicts.
Conversely, a weak correlation that when one data value changes little happens to the other.
The second response contains the data value 0x014a, or decimal 330, which shows that the battery level is 3.3 V.
First, they need to reposition themselves in the data value chain to gain and secure data access.
Because a stem-and-leaf plot represents each data value, it is best when the sample size is less than approximately 50.
In a hash table, data is stored in an array format,where each data value has its own unique index value. .
Investors will use platform/ecosystem, data value, and customer engagement metrics as valuation factors for all enterprises.
IDC estimates that investors will use platforms/ecosystems, data value, and customer engagement metrics for all enterprises by 2020.
The awareness of companies' deep use of data value has rapidly increased, and data asset management has become a hot concept.
So in the whole upgrade, data upgrade, and our data value upgrade, we fully reflect the value of this big data. .
IDC also believes that by 2020,investors will use platform, data value and customer engagement metrics as valuation factors for all enterprises.