Examples of 'large data' in a sentence
Meaning of "large data"
refers to a massive amount of information or data that is too large and complex to be processed using traditional data processing methods. It often involves large volumes, high variety, and high velocity of data
How to use "large data" in a sentence
Basic
Advanced
large data
It can manage a large data center efficiently.
Large data sets can now be handled.
The structures of large data instances are developed.
This is the biggest benefit of large data.
Processing large data sets has costs.
It makes it possible to handle large data volumes.
Large data bases information on information.
Allows efficient exchange of large data structures.
Enables large data sensors at the field level.
Distributed architecture for large data volume.
Perform large data transfers in an optimized network environment.
Quick calculation even of large data sets.
Large data breaches continue to occur.
Workflows for managing large data sets.
Fusing very large data sources and detecting outbreaks.
See also
We can observe blockchain as a large data base.
Different types of large data sets can be integrated.
Desktop volume rendering application for large data.
This algorithm has a large data storage capacity.
We propose some mechanisms to deal with large data.
Well suited to large data sets.
Large data storage space.
Intended for transfer of large data files.
Frequent reports of large data breaches are alarming for everyone.
Considerably faster for large data sets.
Administration of large data volumes with high access rates.
Fragmented transmission of large data blocks.
Large data storage as standard.
This process generated a very large data set.
Large data set analysis.
At the beginning there is always a large data set.
It tends to occur during large data transfers on a busy network.
Those undertakings were undertakings with large data centres.
Analysis of the large data set created is currently underway.
Better support for very large data objects.
Make large data coherent.
Elastic search as a large data platform.
Analyzing large data sets with NoSQL data tools.
Pig is a platform for processing large data sets.
Ability to analyse large data sets to make strategic decisions.
But never with such a large data set.
A large data set also can be a collection of numerous small files.
For exchanging large data sets.
It is useful when we need to generate the report on large data.
Structuring and analysis of large data amounts by statistical analysis.
It is especially useful when dealing with large data sets.
Automation of large data transfer.
Potential acts of terror through analysis of large data sets.
The principles of ranking large data arrays are actually many.
Support distributed computation models to process large data sets.
You'll also be interested in:
Examples of using Data
Show more
Select the data to display on that line
There is also evidence based on modelling data
Data on these populations are often not available
Examples of using Large
Show more
Large cabinet with easy access to spools
Metallurgical tests on large volumes are currently underway
A large number of delegations welcomed the proposal
