Sentence examples for evaluating big data from inspiring English sources

The U.S. Department of Defense awarded more than $1 million for the development of new theories and methods for evaluating "big data" generated from studies of the genome to understand biological regulatory networks.

IoTABench has been developed for evaluating big data systems for internet of things (IoT) [52].

Telecom and financial services are the most active early adopters, with Technology and Healthcare being the third and fourth industries seeing big data analytics Education has the lowest adoption as 2017 comes to a close, with the majority of institutions in that vertical saying they are evaluating big data analytics for the future.

From technology revolutionizing how we evaluate big data to an education program for bright young students, Stanford's Invention Hall of Fame recently welcomed six new inductees, growing in membership by nearly a quarter.

Currently, he is involved in the C3S DECM project by developing a prototype for COPENICUS services on how to evaluate Big-Data from climate model simulations.

This work underlines the value of evaluating hypothetical scenarios using big data.

Moreover, most benchmarks for evaluating the performance of big data analytics typically can only provide the response time or the computation cost; however, the fact is that several factors need to be taken into account at the same time when building a big data analytics system.

"It is part of a data scientist's mission to understand the business needs and evaluate potential big-data solutions that can deliver return on investment to the business.

The value proposition of big data: How should we evaluate and price the information service of big data analytics?

To understand this competitive source, we need to address issues including: The value proposition of big data: How should we evaluate and price the information service of big data analytics?

By using these benchmarks, the computation time is one of the intuitive metrics for evaluating the performance of different big data analytics platforms or algorithms.