Examples of 'traditional data' in a sentence
Meaning of "traditional data"
traditional data: This phrase typically refers to conventional or historical data sets that have been collected and analyzed using established methods. It is commonly used in the context of research, statistics, or information analysis
How to use "traditional data" in a sentence
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traditional data
The shift from traditional data centres.
Traditional data collection methods are still widely used.
Consider the size of a traditional data center.
But traditional data has not reflected beliefs.
So look beyond the traditional data.
Traditional data protection is too complex.
Reduced costs from traditional data capture operations.
Traditional data was structured and fit perfectly in a relational database.
Less than a traditional data center.
Traditional data warehouse solutions were originally developed out of necessity.
It also keeps most fundamental of traditional data analysis.
The traditional data processing techniques are inadequate to process it.
How to overcome the limitations of traditional data structures.
The traditional data warehouse still has a role to play.
Basic database management tools or traditional data processing applications.
See also
Traditional data mining algorithms do not account for contextual information.
The review team used traditional data gathering methods.
Traditional data networks rely on a small number of centralized access points.
This is different from the traditional data mapping to a file.
Traditional data have been.
We could be talking about a private cloud or a traditional data center.
Experience with traditional data center architectures and components.
The gray lines indicate more traditional data transfer.
The traditional data.
Cloud storage has a number of advantages over traditional data storage.
Data sets so large that traditional data processing applications are inadequate.
Traditional data formats tend to be relatively easy to define and change slowly.
There is enough data that traditional data processing applications are inadequate.
Traditional data warehouses are not agile enough to deliver business solutions in a timely manner.
Big data is difficult to process through traditional data processing applications.
In the traditional data center it has always been possible to add and release resources.
These vendors are strong in the more traditional data integration patterns.
The traditional data collection has the problem of the lack of geographical links.
We can get all of these data from traditional data stores.
More traditional data analysis tools and methods are not enough to get the job done.
Using snapshot backups to replace your traditional data backup system.
Traditional data formats tend to be relatively well defined by a data schema and change slowly.
The datacomputer differs from traditional data management systems in several ways.
On the surface cloud storage has several advantages over traditional data storage.
Traditional data mining tools take a handcrafted approach that simply takes too long.
Artificial intelligence has advantages over more traditional data analysis programs.
Traditional data sensemaking and presentation methods require conscious thinking for almost all of the work.
There is still another shift away from traditional data movement and integration.
Rapid analysis measured in hours or days rather than the stereotypical months of traditional data m.
These data collections are so vast that traditional data analysis no longer works.
The traditional data processing techniques supported by SPRING included the following.
Information from weather satellites is used where traditional data sources are not available.
The traditional data warehouse got disrupted by Big Data and Apache Hadoop.
The fast and secure transactions it facilitates could revolutionize traditional data systems.
It 's cheaper than traditional data integration tools.
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Traditional knowledge is equally present in the curriculum
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Traditional enumeration with yearly updates of characteristics
