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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.
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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.
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.
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).
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.
Then, a new 'step 3' should help in making the basic framework more operational: a context-specific indicator should be associated to every objective; data should be provided about its current status and realistic target; the threshold used for the selection of indicators should be based on the cost of data collecting and processing.
Practical experience shows that although sensor redundancy can effectively reduce the loss of information, the mass of data transmission will greatly increase the cost of data analysis and processing, especially in long-distance transmission network.
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.
After the time consumption characteristics have been predicted, we can infer the cost of big data processing jobs, which depends on the characteristics of time consumption.
Despite a general consensus that the costs of data collection and processing are critical, most cost comparisons are anecdotal or qualitative [ 1, 2], with a systematic review of the literature demonstrating lack of quantitative cost data [ 3].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com