Examples of using Massive amounts of data in English and their translations into Dutch
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Programming
Meteoblue weather models generate massive amounts of data and are challenging to visualise and understand.
Today, organizations are capable of processing and analyzing massive amounts of data to generate real-time business insights.
At the University of Amsterdam, the research focus will lie on finding relevant information in massive amounts of data.
deals with massive amounts of data and needs extreme data processing.
the 10GbE-ready TS-831X is perfect for companies to store massive amounts of data and excel in fast data transmission.
CRM provides businesses a complete picture of all their accounts by organizing massive amounts of data and presenting them automatically.
Use them to optimize your storage connectivity for mission-critical applications, massive amounts of data, solid state drives, and cloud-based environments.
you can use it to store massive amounts of data, and you can use it for this beautiful experiment that my friend was struggling to explain.
beneath the surface lurks a behemoth support system of data scientists and engineers, massive amounts of data, labor-intensive extraction
mobile devices with infrastructures(for example traffic management systems), so that massive amounts of data can be used in real-time to improve their business process and efficiency.
In the development of modern communication systems, one of the most important challenges we face is how to transfer massive amounts of data between satellites and ground stations in a way that is economically viable.
and to integrate massive amounts of data from different sources.
An alternative, Hawkins-like approach to economic development would take massive amounts of data about the world and ask what is likely to succeed next in a country
It's uploading a massive amount of data from our mainframe.
sensors comes a massive amount of data- and opportunity.
Samsung Galaxy Tab 2 allows users to store massive amount of data like pictures, movies,
otherwise it will lose its purpose under a massive amount of data.
However, Wolff said it is not just about collecting a massive amount of data; it's also about making sure you know what to do with it so it doesn't just become more noise in the garage.
Consequently, these massive amounts of data are becoming increasingly dirty.
Every day, even every second, we produce massive amounts of data.