Examples of 'data volumes' in a sentence

Meaning of "data volumes"

data volumes: this phrase signifies the amount or quantity of data that is being dealt with or considered. It refers to the size or magnitude of data, often indicating that there is a large or significant amount of information to process, store, or analyze

How to use "data volumes" in a sentence

Basic
Advanced
data volumes
Data volumes for businesses are continually rising.
Processing of huge data volumes and dimensions.
It makes it possible to handle large data volumes.
Huge data volumes are another challenge.
Compression typically cuts data volumes in half.
The data volumes are no problem here.
Support of high product data volumes.
Data volumes will continue to skyrocket.
Deduplication is a critical strategy for controlling data volumes.
Administration of large data volumes with high access rates.
Better management of increasing data volumes.
Define data volumes to the provider level of the country.
This is no easy task as the data volumes grow.
For massive data volumes such as specific image databases.
Can efficiently manage very high data volumes.

See also

Huge increases in data volumes without a massive rise in costs.
Both approaches allow organizations to explore huge data volumes.
Data volumes are increasing exponentially.
They work better still with unorganized data volumes.
Data volumes are available even if the container itself is deleted.
They work even better with unorganized data volumes.
Reduced data volumes.
We assure highest performance even with large data volumes.
Deduplication solution reduces data volumes and speeds up backup operations.
Dealing with large and very large data volumes.
Performance and scalability as data volumes increase in size and complexity.
It offers scientists the possibility of using large data volumes.
Analyze large data volumes to predict failures and anticipate demand.
Virtually unlimited data volumes.
Large data volumes are not news to the oil and gas industry.
Significant reduction of data volumes.
As data volumes and data sources grow this problem is only getting worse.
It automatically accommodates increases in big data volumes and sources.
Data volumes are growing at a high speed as data emerges from millions of devices.
These devices are capable of generating very high data volumes.
There is an added degree of difficulty as data volumes and complexity continues to grow.
The server could implement a feature to track data volumes.
Process large data volumes and advanced cartographic symbols without any problems.
It is recommended that you create all data volumes on dynamic disks.
The high data volumes processed in service centres require efficient internal control practices.
This significantly increases the overview and reduces data volumes.
Continuously increasing data volumes make fraud control a daily challenge for financial institutions.
And today you can store these huge data volumes.
Transform high data volumes into useful and accurate information for timely decision making.
Digitalisation is already leading to a constant increase in data volumes in production halls.
Testing using too small data volumes is a quite common mistake that can give inaccurate results.
This will require processing and analyzing greater data volumes.
This advantage dramatically reduces data volumes and provides users with significant savings for mobile connections.
Few aspects of business are unaffected by the surge in data volumes and variety.
Large data volumes lead to inconveniences and slow Excel operation.

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