Examples of using Data systems in English and their translations into Slovenian
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Computer
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Official/political
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Programming
propose that that always-on data systems enable researchers to track changes over long periods of time.
reduce its effectiveness in making data systems interoperable.
I do not, however, think that always-on data systems are well suited for tracking changes over very long periods of time.
In conclusion, always-on data systems enable researchers to study unexpected events
of large-scale networked data systems.
In addition to studying unexpected events, always-on big data systems also enable researchers to produce real-time estimates,
of large-scale networked data systems.
where applicable in compliance with the European Reference Life Cycle Data Systems(ELCD);
that provides a direct information sharing link between the Polar ecosystem and third-party data systems.
Diablo Data Systems(who rejected the offer), Hewlett-Packard(HP), and Apple Computer.
i.e. a manual on setting up information links between national data systems.
Because Ford designed the vehicle- including its electrical architecture, data systems and vehicle technology- the company is able to provide the newest updates
have documented 18 cases in which population data systems have been involved or potentially involved in human rights abuses(table 6.1).
And, because Ford designs the vehicles- their technology, data systems and electrical architecture- it is able to provide the newest updates
processes and weaknesses in data systems.
use always-on data systems to measure outcomes,
including their internal data systems and data flows,
use always-on data systems to measure outcomes,
compatibility of migration statistics and national data systems, including by further developing
A public backlash against increased digital surveillance could lead big data systems to become more reactive over time, and strong concern about digital surveillance could even lead some people to attempt to opt-out of big data systems completely, increasing concerns about non-representativity(described more below).