Examples of using Data volume in English and their translations into Chinese
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Also, its K-V data storage method maintains the query efficiency even if the data volume increases exponentially.
It is reported that Google's data volume is 5EB, is 5 billion GB.
My data volume is too large for a single server, and I need something that spans servers.".
If you use the control panel to unlock a data volume, you can see this option presented as a checkbox, as in Figure 2.
The data volume of the snapshots is roughly 35GB, we expect it to grow by 30-40GB with each release.
The data volume of 4K video is 4 to 8 times that of HD, and it requires a more efficient compression encoding algorithm, while the H.
With the technology available today, industry is obtaining more automation, better precision, and increased process data volume.
This, in-turn, adds information awareness but also data volume which the staff must manage.
We created Presto to help us analyze data faster because our data volume grew and the pace of our product cycle increased.
One thing that can seem preposterous about a sci-fi technological scenario is simply data volume required for the storage of entire AI minds.
She added that the office's biggest challenges were access, having analytic tools in a common environment and incredible data volume.
You can define multiple containers and data volumes in a task definition.
However, as data volumes continue to increase and processing technology becomes more affordable, many more sectors of society are likely to be impacted.
As data volumes or performance requirements increase, adding more capacity or computing power is as simple as adding additional computers to the cluster.
NetApp SnapRestore software uses stored Snapshot copies to recover entire file systems or data volumes in seconds.
The ability to quickly upscale hardware, and securely store infinite data volumes, makes the cloud the perfect location for Big Data analytics.
Level 1: Data volumes are typically"small" and limited by desktop-scale hardware and tools, with analytics performed by individuals using simple workflows.
Organizations will need to recognize data gravity: As data volumes continue to grow in the 5G era, data will develop its own gravity.
Similarly, as data volumes continue to grow, tools for distributed machine learning and large-scale data processing will become more and more critical.
Data volumes have exploded, making it difficult to identify the high-risk anomalies or trends that exist in your event logs.