Sentence examples for requires big data from inspiring English sources

Analyses of extreme weather events and their impacts often requires big data processing of ensembles of climate model simulations.

Working with the Variety among different data representations in a given repository poses unique challenges with Big Data, which requires Big Data preprocessing of unstructured data in order to extract structured/ordered representations of the data for human and/or downstream consumption.

Big data also requires big data-specific IT labour skills such as data scientists, data architects, data analysts, etc. both to maintain the systems and architecture as well as to operate the applications.

Currently, RDDs have been successfully applied in other fields requiring big data processing and analysis [23, 24] but there is little research about RDDs-based power system simulation.

For instance, the Internet of things and most wearable technology require big data to generate personal information and provide the user with feedback.

Online P2P lending platforms (or other similar online micro-lending websites) require big data and are perhaps best positioned to use it efficiently.

On the other hand, the use of these systems produces large amounts of fine-grained data that need to be processed and interrelated, typically requiring big data analytics for the extraction of useful knowledge that can be used by the software services controlling these systems.

These are the key features of information that require big-data tools.

Big data requires big storage, and a major portion of investments will occur in storage infrastructure in order to deliver a platform from which meaningful information can be extracted in an insightful manner.

That requires big investments in data centres and yields lower margins, at least for the time being.Another trend is that consumers are spending more time on mobile devices.

"The second is that it requires big resources for collecting and securing data as well as gaining insight into it, that requires huge resources and very separate areas of expertise.