High Fidelity Data

Fady A. Harfoush ()
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Fady A. Harfoush: Loyola University Chicago

Chapter 2 in From Big Data to Intelligent Data, 2021, pp 31-48 from Springer

Abstract: Abstract In purchasing an audio equipment many are willing to pay the premium price for best sound quality. A person addicted to high fidelity audio with inaudible or zero noise, is called an audiophile. Similarly, we need to introduce the concept of high-fidelity streaming data and the potential for transmission interference and data contamination. When a big percentage of big data is noise, it is essential to develop an affinity for high fidelity data. A person with such affinity can be called a dataphile. Many factors contribute to the contamination and degradation of data quality. Many tools need to be developed and integrated to ensure the integrity of the data as it travels from source to destination. Without the tools and the skills for high fidelity data, every business risk to end up with fast junk-in and fast junk-out.

Keywords: High fidelity; Audiophile; Signal and noise; Interference; Contamination (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-3-030-76990-1_2

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