Examples of using Big data in English and their translations into German
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Colloquial
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Official
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Ecclesiastic
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Medicine
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Financial
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Ecclesiastic
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Political
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Computer
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Programming
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Official/political
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Political
Big data and transport.
Secondly, IT, big data and the internet.
Big Data is changing e-payment.
Learning from the big data first movers.
Big data blockchain concept.
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And we forget that AI and big data are only technological progress.
Big data applications, LoT, the cloud and sensors.
Which of your questions should be answered with a Big Data solution?
Because big data is an extremely important tool.
We have found the perfect solution to deal with big data, Cosmos.
Best big data analytics tools big data.
We offer consulting on all Big Data and Hadoop related topics.
Big Data is giving Nissan better customer insights.
Are you curious about Big Data, Opinion Research and Startups?
Big Data is heavily discussed but rarely used in our country.
We can learn from the big data generated by these communities.
Embracing a scalable SecOps architecture built for big data and analytics.
How big data helps In generating the right business reports.
At the same time, the increased use of Big Data, Artificial Intelligence, etc.
Unfortunately, the problems of incompleteness tend to be more extreme in big data.
Splunk is a major big data analysis tool without an underlying database.
Read how this software powers scale-out NAS for Big Data and object workloads.
Big data streams or complex programs will not strain your foreground.
Her current research area includes in particular big data management. Contact.
Big data are created and collected by governments for purposes other than research.
Understanding these characteristics are a necessary first step to learning from big data.
Our big data and HPC users have a clear understanding of their computing requirements.
Accelerated data processing isespecially interesting if you want to quickly analyse Big Data.
Careers in big data include international development, media data mining and simulation.
Faster modeling with Big Data through parallel processing and more efficient use of hardware ressources.