在 英语 中使用 The volume of data 的示例及其翻译为 中文
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The volume of data had also increased, due in part to the significant expansion of emergency and relief operations by the Office for the Coordination of Humanitarian Affairs.
The volume of data within a typical transmission should match the packet size that the chosen protocol can accommodate.
By 2020, the volume of data collected will be 40 zettabytes, which is every single grain of sand on earth times 75.
The volume of data stored to support a big data application can be several factors of ten larger than all of your operational data combined.
When aggregating keys with high cardinality(such as URLs), the volume of data is not reduced by much(less than twofold).
The volume of data would be very large, with a tendency to become larger, especially if your site monitors several aspects of its visitors' behavior.
For instance, the sheer number of sensors and the volume of data transfer have enormous software and hardware implications.
When aggregating a large quantity of keys, the volume of data is not reduced, and aggregation is useless.
In the first studies the volume of data was unfortunately too small for it to be possible to either confirm or reject Petersson's model.
According to a recent Computerworld study among 300 of the world's largest enterprises, the volume of data is expected to increase by about 60 percent in 2013.
In addition, if a specific data can be considered as a Big Data or not, it depends on the volume of data.
The volume of data used in business, research and technological development is massive and continues to grow.
There is a popular opinion that in order to effectively calculate statistics, you must aggregate data, since this reduces the volume of data.
The volumes of data generated today have made establishing secondary data centers cost-prohibitive, too: a further factor driving companies to the cloud.
The volumes of data generated today have made establishing secondary data centers cost-prohibitive, too: a further factor driving companies to the cloud.
The volumes of data we generate, and the insights we extract from this data, are expanding exponentially.
Getting the storage platform right is essential because the volumes of data involved are significant.
IoT networks consist of numerous sensors that continuously collect enormous amounts of data, exponentially greater than the volumes of data collected for big data analytics.
But aside from huge data-generating companies, the majority of companies don't acquire the volumes of data required to properly train AI algorithms.