Sentence examples for Prolific data from inspiring English sources

The other spies were more prolific data suppliers, but remain interesting largely to the extent that they were agents: motives, style, tradecraft, mistakes.

Volume Prolific data at scale creates issues ranging from storage to its processing.

Traditional RDBMS has given in managing such variety of prolific data and the new technologies, such as big data has promised to offer robust management frameworks to handle such continuous data streams.

You may know Sosolimited as the prolific data warpers from Cambridge, Massachusetts who like to take live television broadcasts and de-code the transmissions, surfacing patterns embedded within the images and speech to give the content new context.

The SGS4's "prolific" uplink data generation usage is described as "consistent with the improved high-resolution 13-megapixel primary camera and the 2-megapixel front-facing camera".

The round was led by the prolific investor Data Collective, with participation from a wide range of key financial and strategic backers.

"This is great news for prolific mobile data users but Three will need to be careful it does not end up attracting all the extreme users who have proved a real headache to rival networks with their excessive data usage". Mobile operators, including Three, introduced data caps in the summer over fears that some users were consuming so much data it was putting unacceptable strain on networks.

Since relatives sharing structural and functional properties experience similar constraints on their sequences to preserve these properties, one way to explore diversity across 'superfamily space' is to exploit the much more prolific sequence data that is available [ 22, 23, 28].

Telescopes and instruments used by astronomers and astrophysicists are similarly prolific generators of data torrents.

Prolific accounts: the data that social media produces does not reflect social media users.

Above discussed problems of prolific, multi-structured heterogeneous data in flow urge the researchers to conduct research to find alternate data management mechanisms, hence NoSQL data management systems have appeared and are now becoming a standard to cope with big data problems [11, 18].