Examples of 'heterogeneous data' in a sentence
Meaning of "heterogeneous data"
Heterogeneous data: Refers to a collection of data that consists of various types, formats, or characteristics
How to use "heterogeneous data" in a sentence
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heterogeneous data
Evaluation of heterogeneous data sets of large building portfolios.
Acquire and consolidate heterogeneous data.
Integrate heterogeneous data from various sources in a single application.
World class capabilities to deploy heterogeneous data center solutions.
Development of new computational methods for the integrated analysis of heterogeneous data.
Synchronisation of heterogeneous data and videos.
Using a real application implies being able to process real heterogeneous data.
Integration of heterogeneous data sources.
This comes in handy when working with heterogeneous data.
Her research activity focuses on heterogeneous data sources integration guided by ontology.
Analysis of data and the storage of not structured and heterogeneous data.
Dealing with heterogeneous data.
Investigation of decision making support methods on the basis of statistical analysis of heterogeneous data.
Database security protects heterogeneous data within the cloud.
The objective of the mediator architecture is to federate distributed and heterogeneous data sources.
See also
Consolidation of heterogeneous data sources.
We then propose to move towards the discovery of mappings between heterogeneous data sources.
At present such heterogeneous data is managed by dedicated systems called data managers hereinafter.
It enable to answer the problems of aggregation of heterogeneous data sources.
DATABASE addresses heterogeneous data within the cloud.
The management of information concerns both structured and unstructured heterogeneous data sources.
Archives and heterogeneous data.
Information of interest to the user is commonly distributed among multiple heterogeneous data sources.
The need to manage a large amount of heterogeneous data is also particularly crucial.
Systems engineering in work machine domain is often performed by tools with heterogeneous data models.
Structuring and analyzing multiple heterogeneous data sources directly by users.
Flexible and intuitive data containers help you organize and analyze labeled heterogeneous data.
This provides a unified access to diverse heterogeneous data sources through a uniform user interface.
Still, heterogeneous data rendered comparisons difficult.
Companies have always had to deal with heterogeneous data sources.
Between heterogeneous data and Pure Players on the lookout.
The challenge for industries is to integrate all these heterogeneous data into a single model.
To make aggregation of heterogeneous data possible, all results are converted to a scale of 1 to 7.
The objective is therefore to group together unstructured or heterogeneous data and draw enlightening conclusions.
The Saffron Technology platform leverages memory-based reasoning techniques and transparent analysis of heterogeneous data.
Connects to and aggregates multistructured data across heterogeneous data silos and different locations.
Heterogeneous data holdings created the need for multi-source data access, standards, catalogues and metadata.
These two technologies now offer solutions adapted to make heterogeneous data from various sources interoperable.
The heterogeneous data collected are stored in a spatio-temporal database ( STDB ).
Service Data Objects is a technology that allows heterogeneous data to be accessed in a uniform way.
Data science extracts knowledge by analysis of large, noisy, complex, and often heterogeneous data.
Moreover, it is impossible to compare heterogeneous data with any sort of coherence.
Abstract, All domains of science and technology produce large and heterogeneous data.
First, a new rate maximization strategy, under heterogeneous data rate constraints among users is proposed.
Integration of different, hybrid and heterogeneous data.
However, interfacing and collecting heterogeneous data is an important part of your R & D resources.
The largest companies in the world are typically navigating a hybrid, heterogeneous data terrain.
Tables - collections of heterogeneous data organized in columns and rows ;.
It provides a high-speed, highly reliable device for performing fabric-based services throughout heterogeneous data center environments.
Variety, analysis of heterogeneous data ( all types of formats ).
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Select the data to display on that line
There is also evidence based on modelling data
Data on these populations are often not available