Sentence examples for cost of data processing from inspiring English sources

Design 7 (Table  3) demonstrates the situation where the total cost of data processing inclinometer and questionnaires is less because it takes less time to process each data unit.

These techniques bring value beyond compliance with data privacy regulations; they also go a long way toward reducing the cost of data processing, hosting and attorney document review.

In this paper, we propose a performance estimation module which can predict the execution time and cost of data processing jobs, according to different characteristics.

The well-designed big data systems must able to deal with all 6Vs effectively by creating a balance between data processing objectives and the cost of data processing (i.e., computational, financial, programming efforts) in big data systems.

This is a result of the variable cost of data processing being lower for the inclinometer method (€255) than for observation (€500 in the current study scenario).

Such consolidation of data processing onto fewer, larger machines to cut the overall costs of computing, analysts agree, is an important trend in large corporations, especially as the economy struggles.

Pipeline of data processing.

Given the economic advantages of online businesses - advantages that will grow as utility computing drives the costs of data processing and communication even lower - traditional companies may have no choice but to refashion their own businesses along similar lines, firing workers in the process.

Since data sets can be enormous, and since monetary cost and latency of data processing with humans can be large, optimizing the use of humans for finding items is an important challenge.

The cost of monitors, complexity of data processing and analysis, problems with compliance and burden on participants also limit their use in large population-based studies [ 14].

As a common thread running through most of the definitions of big data, the related information assets are of high-volume, high-variety, and high-velocity and thus require cost-effective, innovative forms of data processing, analysis, and management for enhanced decision-making and insight.