Examples of 'large volumes of data' in a sentence

Meaning of "large volumes of data"

This phrase is commonly used in the field of data analysis, technology, or research. It refers to a significant or substantial amount of information or data. It suggests that there is a considerable quantity of data that needs to be processed, analyzed, or stored

How to use "large volumes of data" in a sentence

Basic
Advanced
large volumes of data
Large volumes of data become smart data.
Processing and storing of large volumes of data.
Storing large volumes of data without structure.
Fusion and processing of large volumes of data.
Extract large volumes of data whenever it is required.
Analysis and synthesis of large volumes of data.
Migrating large volumes of data takes time.
Quickly find and recover large volumes of data.
Handle large volumes of data and transactions.
Logtrust offers easy visualization of large volumes of data.
Processing of large volumes of data in a matter of second.
We are now able to process these large volumes of data.
But encrypting large volumes of data is no easy task.
Scalable architecture designed for large volumes of data.
Sending large volumes of data between locations is problematic.

See also

Quick viewing and searching through large volumes of data.
Large volumes of data can be analysed quickly and easily.
Transmitting large volumes of data.
Data warehouses were initially built to store large volumes of data.
Loading large volumes of data.
Elasticsearch can quickly index even large volumes of data.
Add large volumes of data.
Efficient for analyzing and aggregating large volumes of data.
Analyse large volumes of data.
Batch processing allows companies to process large volumes of data quickly.
Administration of large volumes of data and intensive use of technology.
It also allows simulations that require handling large volumes of data.
Manages large volumes of data.
Data mining technologies are characterized by intensive computations on large volumes of data.
The need to process large volumes of data is not new.
This is especially the case if you are dealing with large volumes of data.
We transform large volumes of data into engagement and consideration.
The current state of technology allows large volumes of data to be gathered.
Enables large volumes of data to be managed without impacting on system performance.
Machines are so much better at analyzing large volumes of data than people.
Working with large volumes of data is a lot like developing software.
Agriculture increasingly relies on technology and the use of large volumes of data.
Ability to handle large volumes of data and work with databases.
This involves using software to conduct systematic analyses of large volumes of data.
Processing and analysis of large volumes of data require efficient infrastructure.
It also implements projects aimed at centralization and migration of large volumes of data.
Store large volumes of data that often have little to no structure.
Hadoop enables users to store and process large volumes of data and.
They have to deal with large volumes of data and documents on a daily basis.
This will provide the organization with greater speed on large volumes of data.
Cloud databases allow storing large volumes of data and grow almost indefinitely.
The large volumes of data this technique generates raise big data issues.
Manual quality checks and maintenance is not efficient for large volumes of data.
Allows for the extraction of large volumes of data without impacting on system performance.
Moving from contextualised advice to advice based on the analysis of large volumes of data.

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Examples of using Volumes
Metallurgical tests on large volumes are currently underway
Increased volumes are complemented with additional products
Suggestions for other volumes would be welcome
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Examples of using Large
Large cabinet with easy access to spools
Metallurgical tests on large volumes are currently underway
A large number of delegations welcomed the proposal
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