Examples of 'structured and unstructured data' in a sentence

Meaning of "structured and unstructured data"

structured and unstructured data: This phrase refers to the classification of data based on the level of organization and format. Structured data is highly organized and easily searchable, while unstructured data lacks a specific format and can be more challenging to analyze

How to use "structured and unstructured data" in a sentence

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Advanced
structured and unstructured data
Scanning of both structured and unstructured data.
Structured and unstructured data in a unified way.
Evaluation of structured and unstructured data.
Structured and unstructured data management.
They search both through structured and unstructured data sources.
Structured and unstructured data encryption.
There will no longer be a distinction between structured and unstructured data.
For structured and unstructured data.
Capable of scaling to hundreds of servers and petabytes of structured and unstructured data.
Admits structured and unstructured data.
Establish trust in information by cleansing and enriching structured and unstructured data.
Integrating structured and unstructured data to gather market intelligence.
Discover insights and solve problems faster by analyzing structured and unstructured data.
Using structured and unstructured data for a better customer experience.
Many enterprise search systems integrate structured and unstructured data in their collections.

See also

Structured and unstructured data controlled with Exprivia proprietary platforms.
Interpret and gain insight from vast quantities of structured and unstructured data.
Review and analyse structured and unstructured data in complex investigations.
Help financial institutions quickly establish enterprise data warehouses of structured and unstructured data.
Work with structured and unstructured data sets on an unprecedented scale.
Irosoft is a services and technologies company specializing in the valorization of structured and unstructured data.
Managing large quantities of structured and unstructured data is a function of information systems.
The target might be a database or a data warehouse that handles structured and unstructured data.
Methods for handling structured and unstructured data from varied sources.
Organizations will want to further control and optimize both structured and unstructured data sets.
Protect both structured and unstructured data all along their lifecycles.
Technical implementation Search structured and unstructured data.
Leverage all structured and unstructured data sources in our human risk platform.
A system that supports large quantities of both structured and unstructured data will continue to rise.
Structured and Unstructured data shall be transformed according to business transformation rules.
Storing and leveraging vast amounts of structured and unstructured data from different systems.
Structured and unstructured data analysis / processing, Sybase, HANA, HADOOP, and NoSQL.
Use AI to extract business insights from structured and unstructured data.
How you will unify structured and unstructured data to make it useful for employees.
Integration with complex LIMS systems supports both structured and unstructured data.
BI uses both structured and unstructured data.
EXASOL extends Hadoop integration to include all structured and unstructured data.
Transformation of structured and unstructured data into VR model.
Regarding the collected data, we distinguish between structured and unstructured data.
The convergence of structured and unstructured data will create better BI.
Soon, there will no longer be a difference between structured and unstructured data.
How do we access both structured and unstructured data from a variety of sources?
This increases its versatility, enabling it to work on both structured and unstructured data.
Robo-advisers can analyze structured and unstructured data very quickly.
Hortonworks Data Platform ( HDP ) helps enterprises gain insights from structured and unstructured data.
Ability to process and correlate structured and unstructured data sources ;.
Squirro delivers real-time context intelligence by combining structured and unstructured data.
Organizations ( large or small ) are storing structured and unstructured data from millions of users.
In any case, it means to find patterns and tendencies from structured and unstructured data.
Collect, visualize and analyze enormous amounts of structured and unstructured data from multiple intelligence sources.

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Examples of using Unstructured
Efficient reduction of unstructured data in any system
Unstructured play encourages creativity and imagination
It is ideally spatially unstructured and temporally structured
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Examples of using Structured
Implement an appropriately structured and organized practice
It is structured around the following three themes
The discussions were structured into two workshops
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Examples of using Data
Select the data to display on that line
There is also evidence based on modelling data
Data on these populations are often not available
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