Examples of using Data generation in English and their translations into Slovak
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Official/political
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Computer
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Programming
This is data generation.
Exif-datetimeoriginal'=gt;'Date and time of data generation'.
Blockchain solves the data generation issues by establishing time, place, person, what happened before and after.
Date and time of data generation.
For basic EPLAN data generation from version 2.6, there is no requirement for EPLAN Electric P8 on the server side.
This is the data generation.
(*) Data generation: substances that require additional information to conclude whether further regulatory action is needed.
The bottom line is that consumers need to see real value tobe willing to pay for services based on their data generation.
Calls on the Commission to strengthen the coordination of data generation, particularly residues data, across the Member States;
The data generation and collection strategies at the center of manufacturing processes have evolved dramatically, especially in recent years.
The impact of Big Data- the significant increase in the volume, variety and velocity of data- resulting from intensified networking and data generation.
(e) the Earth observation data generation time andthe time delay between the data generation and the envisaged dissemination;
To catalyse experimental progress in genome,post-genome and biomedical research by enhancing data generation, standardisation, acquisition and analysis.
In addition, Microsoft AES keyboards use random data generation and unique identifiers for each transmission to prevent more sophisticated attacks.
Whereas the volume of data is growing at an unprecedented pace, so that there will be 16 trillion gigabytes of data by 2020,which corresponds to an annual growth rate of 236% in data generation;
High-throughput research: to develop new research tools formodern biology that will enhance significantly data generation and improve data and specimen(biobanks) standardisation, acquisition and analysis.
Whereas the volume of data is growing at an unprecedented pace, with 16 trillion gigabyte of data expected to be available by 2020,corresponding to an annual growth rate of 236% in data generation;
Besides these basic elements, an advanced digital infrastructure is needed, covering mapping and positioning systems,different kinds of sensors for data generation, hardware and software for data processing, and mobile and broadband connections for data distribution.
Balluff has been deeply involved with automation for more than 50 years, has carried this experience over to the transformation to the IIoT,and today offers all the needed solutions from data generation to its transport to processing.
Big Data- the significant increase in the volume, variety and velocity of data- resulting from intensified networking and data generation, the very important link between research, industry, services and employment, public procurement, environmental performance and sustainability, the social impact of business services on society in general and the labour market.
MindSphere is the cloud-based, open IoT operating system from Siemens that connects products, plants,systems, and machines, enabling data generation by the Internet of Things(IoT) with advanced analytics.
Whereas guidance translates the requirements of legislation into practical steps, explaining what must be done, while test guidelines specify thetest protocols that must be followed for data generation, explaining how tests must be done;
It will foster best practices of data findability and accessibility and help researchers get their data skills recognised and rewarded; allow easier replicability of results and limit data wastage e.g. of clinical trial data(research integrity);contribute to clarification of the funding model for data generation and preservation, reducing rent-seeking and priming the market for innovative research services(e.g. advanced text and data mining).
Data structures generation.
Next Generation Data Centres.
Data structure generation.
Trivalent is the leading provider of next generation data protection.
Batch generation and data import.
Data structure generation- enables creation of configuration base for particular subsystems.